Printability Optimization of LDPE-Based Composites for Tool Production in Crewed Space Missions: From Numerical Simulation to Additive Manufacturing by Federica De Rosa, Susanna Laurenzi

“…Three key printing parameters, including printing speed and infill pattern, were varied across different levels to assess their impact. Once the optimal combination of parameters for minimizing residual stresses and warpage was identified, we proceeded with the experimental phase, printing objects of increasing complexity to validate the correlation between numerical predictions and the 3D-printed models. …”
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Optimization of twin screw melt mixer setup process parameters for better blending of polymers and polymer composites for FDM applications by Sathish Kumar Adapa, Jagadish, Srinivasu Gangi Setti

“…Certainly, these blended compounds are best suitable to use in fused deposition modelling (FDM) applications. The response surface method (RSM) optimization has been adopted for optimization of a twin-screw internal melt mixer process parameters. …”
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Research on the Influence of Composite Modification Design on Tooth Surface Wear of Transmission Gears by Bai Xiaoning, Li Yonghua, Wang Denglong, Zhang Dongxu

“…To reduce the wear of gear tooth surface and improve its transmission performance, a composite modification design method is proposed, which is based on the Sine-SSA-BP model and used to verify the influence of modification on gear wear. …”
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Optimization of structural and mechanical properties of stone products through internal reinforcement by I. A. Piskun, V. V. Kotenko, A. M. Makhno, R. M. Ihnatiuk, R. R. Merynov

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Process-driven strength enhancement and progressive damage analysis of three-dimensional woven composites traction rods by Hao Huang, Zhongde Shan, Yanming Xing, Zitong Guo, Chunguang Yang, Jianhua Liu, Zheng Sun, Xiaohui Ao, Dong Wang, Chenchen Tan, Weihao Wang, Juncheng Luo

“…This study presents a comprehensive methodology for optimizing the process parameters of three-dimensional (3D) woven composites traction rods using a progressive damage failure model and an embedding feature selection-based back propagation neural network (EFSBPNN) surrogate model. …”
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INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM by RAO YuWen, LIN RenBang, YANG YanZhi, YAN Gang

“…Cohesive zone model（ CZM） is widely in used integrity evaluation for composites with delamination damage,and accurately obtaining the CZM parameters has important effects on the evaluation results. …”
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Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data by Amirhossein D Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

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Differential Evolution for Optimizing Model Parameters in Simulation of Direct Dimethyl Carbonate Synthesis by Outi Ruusunen, Riitta Keiski, Mika Ruusunen

“…The Differential Evolution (DE) algorithm was applied to optimize parameters of the model. When validated with data of a real-world batch process, the model accurately predicted evolution of reaction composition ratios in time, offering a tool for predictive optimization. …”
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The Truck Platooning Routing Optimization Model Based on Multicommodity Network Flow Theory by Zexi Zhang

“…The output of the routing optimization model could both reflect the composition of each truck platooning on each link and directly show the routings of each truck. …”
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Modeling the relationships among technological properties of sheep individual animal factors, milk composition, and minerals using generalized additive mixed models by Giorgia Stocco, Claudio Cipolat-Gotet, Andrea Summer, Francesco Tiezzi, Simone Blotta, Alessio Negro, Bianca Castiglioni, Stefano Biffani

“…ABSTRACT: The dairy sheep industry faces ongoing challenges in optimizing cheese production and enhancing efficiency across different breeds. …”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…In this study, advanced compositional models were developed using a broad range of machine learning (ML) techniques to predict Rs efficiently and reliably. …”
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Investigation and Optimization of Adhesive Structure Formation on Shell Limestone Surfaces by Andrii Kolesnykov, Mykola Khlytsov, Svitlana Semenova, Mario Šercer

“…It is shown how optimization of the restorative composition due to the selection of the necessary fractal parameters can improve its adhesive characteristics. …”
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Resilient dispatching optimization of power system driven by deep reinforcement learning model by Haifeng Zhang, Yifu Zhang, Jiajun Zhang, Xiangdong Meng, Jiazu Sun

“…This is mainly due to optimizing the model for unit composition and load distribution, avoiding unnecessary energy waste and equipment loss. …”
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Understanding the Complexity of the Food System: Differences and Commonalities between Two Optimization Models by Samantha N. Heerschop, Renee P. M. Cardinaals, Sander Biesbroek, Argyris Kanellopoulos, Johanna M. Geleijnse, Pieter van ‘t Veer, Hannah H. E. van Zanten

“…SHARP is a benchmarking model that optimizes current diets for health and sustainability for consumers. …”
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Construction and application of two intrinsic models for Ti-Al composite plates considering current parameters by Tao Huang, Yihan Zhai, Binghui Xing, Chaomin Zhang, Nan Xiang, Kexing Song, Wenjing Zhang, Lei Shi

“…The construction of an intrinsic model is important for the analysis and optimization of the deformation process. …”
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A Framework to Calibrate Ecosystem Demography Models Within Earth System Models Using Parallel Surrogate Global Optimization by Yanyan Cheng, Wei Xia, Matteo Detto, Christine A. Shoemaker

“…In this study, we develop a computationally‐efficient and physical model structure‐based framework that uses a parallel surrogate global optimization algorithm to calibrate ED models. …”
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Development of approaches to improving organization structure and staff composition of construction companies in terms of costs by Jawed Serat

“…The paper proposes new approaches to improving organization structure of construction companies aimed at redistributing tasks and functions among employees taking into account the specifics of projects. The developed model allows to optimize staff composition, provide capability of the organization structure to respond promptly to changes in the construction process. …”
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Optimization of the methanolysis of lard oil in the production of biodiesel with response surface methodology by Chinyere B. Ezekannagha, Callistus N. Ude, Okechukwu D. Onukwuli

“…Methanolysis of lard oil to biodiesel was optimized using central composite design (CCD) of response surface methodology to delineate the effects of five levels, four factorson the yield of biodiesel. …”
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Comparative Effects of Carbon Fiber Reinforcement on Polypropylene and Polylactic Acid Composites in Fused Deposition Modeling. by Alhassan Abdelhafeez, Yasser Abdelrhman, M-Emad Soliman, Shemy Ahmed

“…Gaussian Process Regression (GPR) modeling corroborated these trends, identifying optimal MCF content as 9.09 wt% for PP and around 2.5 wt% for PLA. …”
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Random forest models highlight early Homo sapiens habitats and their relationship to lithic assemblage composition by Lucy Timbrell, James Blinkhorn, Matt Grove

“…We find that environmental suitability has a significant impact on overall assemblage composition, suggesting that populations occupying optimal and peripheral zones within the landscapes use distinct artefact types and reduction technologies. …”
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