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Exploiting Machine Learning and Automated Synthesis in Continuous Flow for Process Optimization of the Organocatalyzed Ring-Opening Polymerization of l‑Lactide. [PDF]

ACS Polym Au
Clothier GKK, Taton D, Harrisson S.
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A review of response surface methodology for biogas process optimization

Cogent Engineering, 2022
This paper aimed at reviewing current researches on the use of Response Surface Methodology in the optimisation of Biogas processes. It explored the performance of RSM in biogas process optimization, the most effective technique and the attendant ...
Solal Stephanie Djimtoingar, Nana Sarfo Agyemang Derkyi, F. A. Kuranchie, J. Yankyera   +3 more
semanticscholar   +1 more source

Reviews on Machine Learning Approaches for Process Optimization in Noncontact Direct Ink Writing.

ACS Applied Materials and Interfaces, 2021
Recently, machine learning has gained considerable attention in noncontact direct ink writing because of its novel process modeling and optimization techniques.
Haining Zhang, S. K. Moon
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Process Optimization

Comprehensive Biotechnology, 2007
Alan Rossiter, Martinez Refinery, Janae Adams, Bob Coleman   +3 more
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Process Optimization

2023
Abstract Process optimization is the discipline of adjusting a process to optimize a specified set of parameters without violating engineering constraints. This article reviews data-driven optimization methods based on genetic algorithms and stochastic models and demonstrates their use in powder-bed fusion and directed energy deposition ...
Michael Sprayberry, Michael Kirka, Vincent Paquit   +2 more
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Lyophilization of Small-Molecule Injectables: an Industry Perspective on Formulation Development, Process Optimization, Scale-Up Challenges, and Drug Product Quality Attributes

AAPS PharmSciTech, 2020
Lyophilization is a pivotal manufacturing process to obtain a stable drug product that is unstable as a ready-to-use formulation. Some formulations may require the addition of drug-specific excipients such as stabilizers, buffers, and bulking agents to ...
Arun Butreddy, N. Dudhipala, Karthik Yadav Janga, Rajendra Prasad Gaddam   +3 more
semanticscholar   +1 more source

Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization

Journal of manufacturing systems
Laser-directed-energy deposition (DED) offers advantages in additive manufacturing (AM) for creating intricate geometries and material grading. Yet, challenges like material inconsistency and part variability remain, mainly due to its layer-wise ...
V. Karkaria, Anthony Goeckner, Rujing Zha, Jie Chen, Jianjing Zhang, Qi Zhu, Jian Cao, R. X. Gao, Wei Chen   +8 more
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Electro discharge machining of Inconel 718 alloy and process optimization

, 2020
Electro-discharge machining (EDM) is a well-known nontraditional machining operation frequently employed by engineers especially in mold and automobile industries. As a hard material, Inconel 718 superalloy is highly utilized in various industries due to
F. Jafarian
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Maximizing CSR impact: Leveraging artificial intelligence and process optimization for sustainability performance management

Corporate Social Responsibility and Environmental Management
This study, which is anchored to Resource‐Based View (RBV) theory, explores the relationship between artificial intelligence (AI), process optimization, organizational flexibility, and sustainability performance in organizational settings. Leveraging the
Ali Nawaz Khan, Khalid Mehmood, Ahsan Ali   +2 more
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Optimal orthogonalization processes

Science China Mathematics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Uusitalo Pauliina, Huhtanen Marko
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