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Influence of anisotropy and walls thickness on the mechanical behavior of 3D printed onyx parts CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-12 Daouda Nikiema, Pascale Balland, Alain Sergent
Predicting the behavior and mechanical properties of 3D-printed parts is crucial for 3D printer users. This study conducted experimental investigations on Onyx 3D-printed parts to identify the most important printing parameters. These parameters were specimen positioning and the number of specimen walls. The experimental results indicated that specimens oriented in the XZ direction were 48% stiffer
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Sidewall wrinkling suppression in the hydro-mechanical deep drawing for the curved surface shell of titanium/iron composite sheets CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-12 Shu-ning Lyu, Li Zheng, Bo-ning Yu, Bao-yi Yu
As a new type of metal sheet, titanium/iron composite sheets are crucial in various fields. However, in the forming of the curved shells of the titanium/iron composite sheets with small thickness-to-diameter ratios, sidewall wrinkling is extremely easy to form, and it is hard to control. In this paper, an experimental setup for hydro-mechanical deep drawing was designed, and sidewall wrinkling on the
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Hierarchical representation and interpretable learning for accelerated quality monitoring in machining process CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-12 Danny Hoang, Hamza Errahmouni, Hanning Chen, Sriniket Rachuri, Nasir Mannan, Ruby ElKharboutly, Mohsen Imani, Ruimin Chen, Farhad Imani
While modern 5-axis computer numerical control (CNC) systems offer enhanced design flexibility and reduced production time, the dimensional accuracy of the workpiece is significantly compromised by geometric errors, thermal deformations, cutting forces, tool wear, and fixture-related factors. In-situ sensing, in conjunction with machine learning (ML), has recently been implemented on edge devices to
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Review of current best-practices in machinability evaluation and understanding for improving machining performance CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-06 Zhirong Liao, Julius M. Schoop, Jannis Saelzer, Benjamin Bergmann, Paolo C. Priarone, Antonia Splettstößer, Vikram M. Bedekar, Frederik Zanger, Yusuf Kaynak
Machinability is a generalized framework that attempts to quantify the response of a workpiece material to mechanical cutting, which has been developed as one of the key factors that drive the final selection of cutting parameters, tools, and coolant applications. Over the years, there are many attempts have been made to develop a standard evaluation method of machinability. However, due to the complexity
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Robot joint space grid error compensation based on three-dimensional discrete point space circular fitting CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-05 Yingjie Guo, Xuanhua Gao, Wei Liang, Lei Miao, Shubin Zhao, Huiyue Dong
The poor absolute positioning accuracy of industrial robots has limited their application in fields such as aerospace manufacturing. To address this issue, the spatial grid compensation method has been proposed as an effective solution. In this paper, we propose a sampling method based on three-dimensional discrete point space circular fitting for grid points to significantly reduce the sampling workload
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Corrigendum to “An enhanced TRIP material model for high martensite content evolution during deep drawing” [CIRP J Manuf Sci Technol 49 (2024) 167–179] CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-02 Konrad Barth, Jörg Heingärtner, Markus Bambach
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Thermo-mechanical finite element analysis of the solid-state metal deposition via lateral friction surfacing CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-02 Ebrahim Seidi, Scott F. Miller
Lateral friction surfacing (LFS) is a novel variation of the friction surfacing (FS) process for solid-state fabrication of ultra-thin and smooth metal coatings. In the LFS technique, pressing the lateral side of a rotating rod against the substrate's surface generates frictional heat and plastic deformation, leading to the deposition of consumable material from the lateral surface of the rod onto
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Maintenance modeling for multi-station remanufacturing systems with interaction between production schedule and station reliability CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-03-01 Xiaojun Zhou, Changsheng Xiao
This paper proposes an Opportunistic Maintenance (OM) model for multi-station serial-parallel remanufacturing systems with interaction between production schedule and station reliability. A dynamic-priority-based production scheduling method is firstly introduced by involving the impacts from both the different types of recovered products and the deterioration of stations. This method is an important
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New automation solution for brownfield production – Cognitive robots for the emulation of operator capabilities CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-29 J. Abicht, A. Hellmich, T. Wiese, S. Harst, S. Ihlenfeldt
Short-term automation solutions for industrial companies have potential to compensate for volatile demand, employee turnover or shortages. Current solutions are either not available at short notice or economically unviable, as integration in existing control systems and machine tools would be necessary. The paper proposes a cognitive robotic system that circumvents this problem by emulating the behaviour
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Predictive maintenance in Industry 4.0: A systematic multi-sector mapping CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-28 Panagiotis Mallioris, Eirini Aivazidou, Dimitrios Bechtsis
Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and machinery installed in industrial facilities. Failures can disrupt production and lead the supply chain ecosystem to malfunction. Maintenance strategies are necessary to safeguard the continuous operation of production lines, minimize supply chain disruptions, and improve sustainability indicators. Within
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Parameters optimization for chatter-free milling tool path based on spindle speed variation method CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-27 Min Wan, Xue-Bin Qin, Jia Dai, Wei-Hong Zhang, Xiao-Ling Sun
Existing methods orienting for optimizing cutting parameters in milling process with spindle speed variation (SSV) only optimally selected the axial depth of cut and only considered the acceleration constraint of spindle. This article proposes a systematic optimization method to obtain the best combination of multiple machining parameters (axial and radial depths of cut) and SSV’s parameters (the ratio
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AI-based optimisation of total machining performance: A review CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-20 Katrin Ullrich, Magnus von Elling, Kevin Gutzeit, Martin Dix, Matthias Weigold, Jan C. Aurich, Rafael Wertheim, I.S. Jawahir, Hassan Ghadbeigi
Advanced modelling and optimisation techniques have been widely used in recent years to enable intelligent manufacturing and digitalisation of manufacturing processes. In this context, the integration of artificial intelligence in machining provides a great opportunity to enhance the efficiency of operations and the quality of produced components. Machine learning methods have already been applied
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Tolerance Information Extraction for Mechanical Engineering Drawings – A Digital Image Processing and Deep Learning-based Model CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-20 Yuanping Xu, Chaolong Zhang, Zhijie Xu, Chao Kong, Dan Tang, Xin Deng, Tukun Li, Jin Jin
Mechanical engineering drawings (MEDs) accompany a product lifecycle from conceptional design to final production. The digitisation of MEDs has become increasingly important due to demands for data authenticity, intellectual property protection, efficient data storage and communication, and compliance with data integrity and security regulations. Unlike CAD-based engineering design software, legacy
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Microstructural and mechanical properties examination of SS316L-Cu functionally graded material fabricated by wire arc additive manufacturing CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-16 Bunty Tomar, S. Shiva
In recent years, arc-based additive manufacturing techniques have been enthusiastically accepted for fabricating components made of various structural materials. In this work, a functionally graded material (FGM) structure of pure copper (Cu) and stainless steel (SS316L) was developed using cold metal transfer-based wire arc additive manufacturing (CMT-WAAM). Components combining Cu and steel show
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Data-driven multi-objective optimization of hydraulic pump test cycles via wrapper feature selection CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-14 Stefan Gaugel, Manfred Reichert
Functional End-of-Line Testing is a powerful but expensive approach for industrial quality assurance. A major cost driver of End-of-Line Testing is the often overlong and overcomplex design of industrial test cycles. To tackle this challenge, the paper proposes a data-driven approach based on machine learning for the optimization of the End-of-Line test cycle of a hydraulic pump. As each test cycle
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Effect of in-situ ultrasonic impact treatment on residual stress of laser deposition layer CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-13 Xu Wei, Laiqi Zhang, Xianlong Li
Ultrasonic impact treatment (UIT) could improve the residual stress of additive manufactured parts. However, there is almost no report on the effect of in-situ UIT, where the UIT equipment moves with laser metal deposition (LMD) equipment at a controllable offset, on residual stress. In this work, the effect of in-situ UIT on residual stress and the effect of offset on the effectiveness of in-situ
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A unified FFT-based mechanistic force coefficient identification model for isotropic and anisotropic materials CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-08 Bahram Mammadov, Yaser Mohammadi, Nima Dabiri Farahani, Yusuf Altintas
Mechanistic force coefficient identification is widely used in the machining industry to predict cutting forces accurately, chatter stability diagrams, forced vibrations, and deflection marks left on the finished parts. This paper presents a generalized cutting force coefficient identification model applicable to machining both isotropic (e.g., metal alloys) and anisotropic (e.g., composite) materials
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A layer superposition strategy based on a theoretical model for wire and arc additive manufacturing of multi-layer single-bead components CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-02 Liang Zhang, Meng Sun, Huixia Wang, Jun Wang, Wenzhuo Bian, Xuerui Dai
Uncertainty in forming geometric accuracy is one of the main factors limiting the application of Wire Arc Additive Manufacturing (WAAM), highlighting the importance of studying the variation in deposition size. In this paper, the profile of single beads based on CMT technology was studied and a theoretical model was developed to describe the correlation between variable parameters and geometric features
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Surface location error in robotic milling: Effect of combined low frequency and high frequency vibration modes CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-02 Richard Swan, Joshua Penney, Gregory Corson, Jose Nazario, Tony Schmitz
This paper describes surface location error (SLE) for serial kinematic robot milling. It includes frequency-domain models for milling stability and SLE, which both use a mechanistic force model and tool tip frequency response functions as inputs. Based on the predictions, experimental conditions are selected and SLE experiments are completed for a selected geometry and 6061-T6 aluminum workpieces.
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Digital twin assisted intelligent machining process monitoring and control CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-02-01 Parsa Bakhshandeh, Yaser Mohammadi, Yusuf Altintas, Friedrich Bleicher
This paper presents a digital twin-assisted online monitoring and control system for machining operations. Process information including Cutter-Workpiece Engagement (CWE) maps are extracted from the virtual model of the process and fused with the CNC internal data as well as the measured external sensor data. Several applications are illustrated to demonstrate the system. Adaptive control of cutting
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Bifurcation analysis for instability detection in high-speed micromilling of thin-walled Ti6Al4V structure CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-30 Sethurao Gururaja, Kundan K. Singh
Detection of a low magnitude of chatter in micromilling process is not trivial attributed to non-dominance of the natural frequency; hence, bifurcation analysis has been proposed. Different thin-walled structures have been manufactured by carrying out the low radial immersion micromilling at radial depth of cuts of 30 µm to 130 µm in intervals of 25 µm and at cutting speeds of 20,000 rpm, 50,000 rpm
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An enhanced TRIP material model for high martensite content evolution during deep drawing CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-31 Konrad Barth, Jörg Heingärtner, Markus Bambach
An enhanced Transformation Induced Plasticity (TRIP) material model based on the model from Hänsel [1] was proposed in this paper to improve the stress-strain representation for high martensite contents for the metastable austenitic stainless steel 1.4301. Isothermal tensile tests were used as the data basis to rebuild the TRIP effect. The martensite content was measured in-situ during the experiments
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Channel formation characteristics under the influence of tool design and comparative analysis on friction stir channeling between copper and aluminum materials CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-25 Milap Pandya, Nirav P. Patel, Kush P. Mehta
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On the effect of radial engagement on the milling stability of modes perpendicular to the feed direction CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-23 Markel Sanz-Calle, Jokin Munoa, Lorenzo Morelli, Alexander Iglesias, Luis Norberto López de Lacalle, Zoltan Dombovari
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Publisher’s note CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-20 Timo Bazuin
Abstract not available
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Modelling and simulation of tool passivation by magnetic elastic abrasive particles CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-12 Piao Liu, Xuefeng Zhao, Yin Yuan, Hongxin Wu, Yong Liu
Magnetic elastic abrasive particles possess magnetism, low elasticity, and excellent grinding performance. Utilizing a double magnetic disk magnetic force tool for passivation can significantly enhance the efficiency and quality of passivation. Firstly, a mathematical model for the impact depth and volume on the tool is established. Secondly, using the simulation software ABAQUS, a simulation model
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Five-axis path smoothing based on sliding convolution windows for CNC machining CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-13 Haorong Zhang, Yijie Wu, Zhebin Shen, Peng Zhang, Hengbo Li, Fei Lou
Tiny linear toolpaths widely used in five-axis CNC machine tools only meet G0 continuity at the junctions of adjacent paths, the tangential and curvature discontinuities at the corners result in decelerations and fluctuations of machine tools. Although the corner smoothing for the three-axis tool path is relatively mature, the five-axis tool pose path smoothing is still difficult to plan due to the
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Quantitative sustainability assessment of metal additive manufacturing: A systematic review CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-13 Valentina Pusateri, Michael Zwicky Hauschild, Sami Kara, Constantinos Goulas, Stig Irving Olsen
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Micromachining of functional Ni-Mn-Ga single crystals using femtosecond pulsed laser CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-04 Aditya Kumthekar, Ville Laitinen, Mahsa Namvari, Kari Ullakko
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In-situ test of full field deformation and chip formation mechanism during machining of Ti2AlNb intermetallic with digital image correlation method CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2024-01-01 Hao Liu, Bing Wang, Zhanqiang Liu, Liangliang Li, Kai Ma, Yukui Cai
Ti2AlNb intermetallic, as a relatively new high temperature-resistant structural material, belongs to typical difficult-to-machine material due to its excellent mechanical properties. This paper aims to investigate the dynamic deformation behavior in chip shear deformation zone and associated chip formation mechanism during the machining of Ti2AlNb intermetallic. A specialized cutting platform combined
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Effects of annealing on periodic microstructure and mechanical properties of inter-layer hammering hybrid wire arc additively manufactured aluminum alloy CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-30 Siyu Zhou, Hao Wu, Xiaodan Li, Jun Yin, Xiangming Wang, Jiayan Wang, Bobo Li, Xinpeng Guo, Guang Yang
It is common to use heat treatment process to control the microstructure of additive manufacturing parts and improve the mechanical properties. However, there are few reports about the control of microstructure properties of WAAM hybrid inter-layer hammering fabricated parts by heat treatment. In this study, the effect of annealing on microstructure and mechanical properties of inter-layer hammering
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Charge weld evolution in hollow aluminum extrusion: Experiments and modeling CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-28 Eren Can Sariyarlioglu, Marco Negozio, Torgeir Welo, Jun Ma
Charge welds occur in billet-to-billet extrusion processes due to the transition between successive billets. The material in this transition zone is typically characterized by substandard mechanical properties. In industrial practice, a specified length of the extruded profile is cut away and recycled as in-process scrap. Therefore, understanding the extrusion mechanisms affecting the properties of
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A novel counter-rotating twin-tool friction stir processing technology for fabrication of Al/SiC surface composite with improved particle distribution CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-27 Md Noorul Hoda, Surjya K. Pal, Jinu Paul
The fabrication of surface composite through friction stir processing (FSP) introduces certain challenges, including insufficient heat generation and non-uniform distribution of reinforcement particles. The implementation of multi-pass FSP can partially reduce these issues; however, it comes at the cost of increased manufacturing time and labour costs. In order to address these challenges comprehensively
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Material removal mechanisms affected by milling modes for defective KDP surfaces CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-17 Hongqin Lei, Linjie Zhao, Jian Cheng, Mingjun Chen, Qi Liu
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Numerical and experimental study on the thermal process during additive friction stir deposition CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-13 Fengfeng Hu, Gang Chen, Yongyong Lin, Hu Wang, Zhixiong Zhu
Additive friction stir deposition (AFSD) is a solid state coating process as well as a developing solid state additive manufacturing technology. AFSD has numerous advantages over friction surfacing coating technology. However, extensive research has demonstrated that a relationship between microstructure and mechanical properties exists at present. On the other hand, a few research focus on temperature
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A new virtual functional element method for deviation prediction of assembled structures with parallel connection chain CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-09 Sheng Liu, Haidong Yu, Zikang Xia, Kunyong Chen
The assembly precision prediction of industrial products with numerous tolerance information and complex assembly relations is a challenge for existing deviation analysis methods since their dimensional chains usually form parallel connections. The parallel connection chain is often transformed into a serial connection chain by discarding some tolerance information and physical constraints in practical
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Accurate prediction of five-axis machining cycle times with deep neural networks using Bi-LSTM CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-07 Shih-Hsuan Chien, Burak Sencer, Rob Ward
This paper presents a novel machine learning (ML) based approach to predict machining cycle (part program running) times for complex 5-axis machining. Typical 5-axis machining toolpaths consist of short-segmented discrete linear cutter location lines (CL-lines) with simultaneously varying tool center point (TCP) and orientation vectors (ORI). As the 5-axis machine tool NC (numerical control) system
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Design and engineering of value-driven Smart PSS for manufacturing companies: Design risk anticipation with sPS2Risk Framework CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-02 Camilo Murillo Coba, Xavier Boucher, Damien Lamy, François Vuillaume, Alexandre Gay
Digital servitization has emerged over the last years, at the convergence between digital- and service-oriented business strategies, leading manufacturing companies to transform their business models through the adoption of so-called Smart PSS (Smart Product-Service-Systems). As a contribution to the relatively recent scientific literature on Smart PSS design, this paper presents a framework for the
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Augmented reality training for improved learnability CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-12-06 Dedy Ariansyah, Bens Pardamean, Eddine Barbaro, John Ahmet Erkoyuncu
In the current era of Industry 4.0, many new technologies offer manufacturing industries to achieve high productivity. Augmented Reality (AR) is one of the emerging technologies that has been adopted in industries to aid users in acquiring complex skills and carrying out many complicated tasks such product assembly and maintenance. Nevertheless, most AR applications have been developed without clear
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Evaluation of response characteristics using sensitivity analysis and TLBO technique of powder mixed wire EDM of Ti6Al4V alloy CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-11-29 Sadananda Chakraborty, Souren Mitra, Dipankar Bose
The development of Powder Mixed Wire Electric Discharge Machining (PMWEDM) aims to enhance both precise dimension and surface quality, making it a more efficient method for the cost-effective production of precise dies and tools compared to conventional Wire Electric Discharge Machining (WEDM. This approach effectively eliminates the need for secondary operations. The present study is focused on the
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Corrosion behaviour of copper cladded steel produced using multi pass friction stir welding process CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-11-28 Mithlesh Kumar Mahto, Adarsh Kumar, Meghanshu Vashista, Mohd Zaheer Khan Yusufzai
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Microstructural evolution and mechanical property of friction stir welded joints in AlSi10Mg alloys fabricated by laser powder bed fusion CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-11-16 Li Cui, Defan Wu, Yaoqing Chang, Xingye Guo, Xu Wu, Wei Shao, Dingyong He
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A comparative study on the microstructure, mechanical properties, wear and corrosion behaviors of SS 316 austenitic stainless steels manufactured by casting and WAAM technologies CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-11-10 Uğur Gürol, Engin Kocaman, Savaş Dilibal, Mustafa Koçak
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Two different experimental approaches for the uncertainty determination of X-ray computed tomography dimensional measurements on lattice structures CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-11-03 Filippo Zanini, Simone Carmignato, Enrico Savio
X-ray computed tomography (CT) is increasingly used in industrial dimensional metrology. However, the establishment of metrological traceability can be challenging for CT dimensional measurements, as the evaluation of their uncertainty is generally non-trivial. Moreover, uncertainty determination becomes even more difficult when dealing with complex measurement tasks, such as in the case of lattice
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Workpiece temperature investigation in micromilling of titanium alloy CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-10-26 Aline Gonçalves dos Santos, Marcio Bacci da Silva, Gustavo Vilela Oliveira, Mark J. Jackson
The study of the micromachining process of titanium alloys has intensified due to a greater need to develop micro components for the medical sciences. However, the investigation of the behavior of process variables is still incipient, complex and challenging. Heat and temperature distributions are important aspects for any machining process, so the main objective of this work is to investigate temperature
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Machine learning for rapid inference of critical dimensions in optical metrology of nanopatterned surfaces CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-10-20 Ramin Sabbagh, Alec Stothert, Dragan Djurdjanovic
Scatterometry-based metrology has the capability to perform high-throughput inspection of large-area nanopatterned surfaces. It utilizes physics-based dependencies between reflectance spectra of light scattered from nanopatterned surfaces and the geometric parameters, or so-called Critical Dimensions (CDs), of such nanopatterns. This paper proposes a novel method for rapid and accurate inference of
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Analysis and development of elliptical tool path in trochoidal milling CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-10-18 Mohamed Wagih, Ibrahem Maher, Hassan El-Hofy, Jiwang Yan, Mohsen A. Hassan
Trochoidal milling has been developed to extend the cutting tool life as compared to conventional milling. It is widely used in the machining of slots and corners of molds and dies. There are several tool paths typically used in trochoidal milling such as true, circular, variable-feed, and variable-step trochoidal tool paths. However, these paths suffer from low material removal rates, low surface
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MOGA and TOPSIS-based multi-objective optimization of wire EDM process parameters for Ni50.3-Ti29.7-Hf20 alloy CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-10-12 Balaji V, Narendranath S
Conventional machining techniques face challenges in processing Ni-Ti-Hf alloys, which exhibit superior properties and are increasingly considered promising materials for high-temperature shape memory actuator applications. Thus, this article focuses on investigating the effect of Wire Electric Discharge Machining (WEDM) input parameters, namely discharge time (TON), pause time (TOFF), gap voltage
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Development of analytical models for tip, root, and end relieving of spur gears by pulsed electrochemical finishing process CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-10-11 Vivek Rana, Neelesh Kumar Jain, Sunil Pathak
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Machine learning approach for weld configuration classification within the GTAW process CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-10-10 Theo Boutin, Issam Bendaoud, Josselin Delmas, Damien Borel, Cyril Bordreuil
In the present study, an attempt has been made to couple experimental data with a machine learning (ML) approach to classify several weld configurations. An ML model has been developed and fed into experimental data captured by several sensors during the gas tungsten arc welding (GTAW) process. On the one hand, welding parameters (voltage, current, wire speed, welding speed, etc.) were used to monitor
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Multisensor data fusion and machine learning to classify wood products and predict workpiece characteristics during milling CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-27 Mehieddine Derbas, André Jaquemod, Stephan Frömel-Frybort, Kamil Güzel, Hans-Christian Moehring, Martin Riegler
The wood industry demands advanced methods for material classification and workpiece characteristic modelling to enhance process monitoring and adaptive process control. This paper presents a sensor fusion approach that integrates data from acoustic emissions, airborne sound, and power consumption during the milling of solid wood and wood-based composites. The aims are to achieve accurate material
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Multi-objective optimization of mixed-model assembly lines incorporating musculoskeletal risks assessment using digital human modeling CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-21 Amir Nourmohammadi, Amos H.C. Ng, Masood Fathi, Janneke Vollebregt, Lars Hanson
In line with Industry 5.0, ergonomic factors have recently received more attention in balancing assembly lines to enhance the human-centric aspect. Meanwhile, today’s mass-customized trend yields manufacturers to offset the assembly lines for different product variants. Thus, this study addresses the mixed-model assembly line balancing problem (MMALBP) by considering worker posture. Digital human modeling
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An uncertain multi-objective model for simultaneous design of supply chain and assemblers considering sustainable development: a case study CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-21 Sadegh Niroomand, Kathleen B. Aviso, Ali Mahmoodirad
Supply chain network design (SCND) problems are used to formulate and make strategic decisions on the number of facilities, network facility location and plant capacity, to ensure the optimal delivery of products from manufacturers to end consumers. On the other hand, assembly line balancing (ALB) problems provide details on operational decisions which encompass production levels and inventories and
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Fundamental investigation on process damping potentials of cutting tools with flank face chamfers CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-12 Florian Wöste, Timo Platt, Jonas Baumann, Dirk Biermann, Petra Wiederkehr
The effect of process damping in machining is an effective influencing factor for the suppression of regenerative chatter vibrations. Although process damping is typically associated with process configurations at low cutting speeds, the use of tools with flank face chamfers is a suitable strategy to specifically increase process stability over a wide range of cutting speeds. In this contribution,
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Fabrication of YAG ceramics surface without damage and grain boundary steps using catalyzed chemical wet etching CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-11 Daisetsu Toh, Kiyoto Kayao, Kazuto Yamauchi, Yasuhisa Sano
Achieving an atomically smooth surface without damage or grain boundary steps is crucial for yttrium aluminum garnet (YAG) ceramics to deliver high-power laser oscillation and stable output. We propose a wet etching method that utilizes a thin-film catalyst, enabling the topmost crystal grain to be selectively removed through a catalyzed chemical reaction. This study demonstrates the effectiveness
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Vision on metal additive manufacturing: Developments, challenges and future trends CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-14 Alain Bernard, Jean-Pierre Kruth, Jian Cao, Gisela Lanza, Stefania Bruschi, Marion Merklein, Tom Vaneker, Michael Schmidt, John W. Sutherland, Alkan Donmez, Eraldo J. da Silva
Additive Manufacturing (AM) is one of the innovative technologies to fabricate components, parts, assemblies or tools in various fields of application due to its main characteristics such as direct digital manufacturing, ability to offer both internal and external complex geometries without additional cost, and the potential of varying materials at the voxel level. However, despite high anticipations
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Influence of build direction and heat treatment on the microstructure and tensile characteristics of cold metal transfer based wire arc additive manufactured SS 304L CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-14 Sandeep O S, Basil Kuriachen
Wire arc additive manufacturing has gained a noble position in the field of manufacturing metallic structures. This paper aims to evaluate the effect of build direction and heat treatment on the tensile behaviour along three different orientations: transverse (T), longitudinal (L), and diagonal (D). Microstructural investigations have been conducted to identify the microstructural features caused by
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Machining behavior of Inconel 718 in hybrid additive and subtractive manufacturing CIRP Ann. Manuf. Technol. (IF 4.8) Pub Date : 2023-09-06 Amin Bagherzadeh, Erhan Budak, Emre Ozlu, Bahattin Koc