Abstract
As industries move towards sustainable product development, biopolymers such as polylactide are gaining significant attention owing to their self-degradability and eco-friendliness. Therefore, a multi-objective optimization problem (MOOP) formulation to obtain high-performance polylactide concerning physicochemical properties is designed through mathematical modeling and solved using the Elitist Non-dominated Sorting Genetic Algorithm (NSGA II). The current work is focused on improving the polymer growth mechanisms with stannous octoate (catalyst) and 1-dodecanol (co-catalyst) by analyzing three different case studies using optimization approach. In the first study, the Pareto front for batch L-lactide ring-opening polymerization (L-ROP) with objective functions of average molecular weight, polydispersity index, and time is obtained. Further investigations on esterification, chain propagation and the ratio of monomer–catalyst and cocatalyst–catalyst is carried out. The optimized result using certain range of initial reagent concentrations is determined and one of the suitable Pareto optimal solution for case study 1 gives Mw = 610 kDa, PDI = 1.8, time = 100 s; case study 2 is Mw = 560 kDa, λ1/λ0 = 4300, λ0 = 70; case study 3 is Mw = 500 kDa, M/C = 33,800, ROH/C = 8.5. The neighboring optimal solutions in the Pareto front have been classified into 3 groups and the corresponding process parameters for the particular outcome are tabulated. Process modeling and optimization in close vicinity with appropriate experimental data are distinct aspects of this work to apply in industrial plant level.
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Abbreviations
- Sn(Oct)2 :
-
Stannous octoate
- ROH:
-
Alcohol
- PL:
-
Polylactide
- GA:
-
Genetic algorithm
- MOOP:
-
Multi-objective optimization problem
- NSGA II:
-
Elitist non-dominated sorted genetic algorithm
- PO:
-
Pareto optimal
- Ki:
-
Kinetic rate constant
- Mw:
-
Weight average molecular weight
- Mn:
-
Number average molecular weight
- MWD:
-
Molecular weight distribution
- PDI:
-
Polydispersity index
- t:
-
Polymerization time
- M/C :
-
Monomer/catalyst ratio
- ROH/C:
-
Co-catalyst/catalyst ratio
- λ0:
-
Zeroth moment equation for active chain
- λ1:
-
First moment equation for active chain
- λ2:
-
Second moment equation for active chain
- µ0:
-
Zeroth moment equation for dormant chain
- µ1:
-
First moment equation for dormant chain
- µ2:
-
Second moment equation for dormant chain
- γ0:
-
Zeroth moment equation for dead chain
- γ1:
-
First moment equation for dead chain
- γ2:
-
Second moment equation for dead chain
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Acknowledgements
Geetu P Paul acknowledges that the Ministry of Human Resource Development (MHRD)-India supports a research grant through the Prime Minister’s Research Fellows (PMRF) Scheme -December 2020 cycle.
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Designed research, methodology, performed research, analyzed data, writing—original draft, writing—review and editing was done by gpp. Conceptualization, methodology, writing—review and editing, supervision, project administration was done by VN. All authors read and approved the final manuscript.
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Paul, G.P., Nagajyothi, V. L-Lactide ring-opening polymerization: a multi-objective optimization approach through mathematical modeling. Iran Polym J 33, 815–826 (2024). https://doi.org/10.1007/s13726-024-01291-z
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DOI: https://doi.org/10.1007/s13726-024-01291-z