Active learning framework to optimize process parameters for additive-manufactured Ti-6Al-4V with high strength and ductility by Jeong Ah Lee, Jaejung Park, Man Jae Sagong, Soung Yeoul Ahn, Jung-Wook Cho, Seungchul Lee, Hyoung Seop Kim

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The Model-Driven Design Integration Framework (MDDIF): Introduction to an Optimized Product Development Process and a Design for Manufacturing Case Study by Clara A. Ramirez, Ravi Gorthala, Amy E. Thompson

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Mechanical treated natural kapok fiber with Ep through oil-milling process for bio-based modified asphalt: Analysis of ageing resistance and Ep releasing by Shun Chen, Wentian Wang, Xingyang He, Ying Su, Hui Xu, Yingjie Wang, Yiming Cao, Bo Jiang, Sang-keun Oh

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Strength-ductility enhancement in high-Mn TWIP steel welded joints via optimized gas tungsten arc welding by Xingfu Wang, Nanle Yang, Juhua Liang, Jianguo Ma, Runxia Li, Biao Wang

“…The impact of GTAW process optimization on microstructural evolution and mechanical properties within the welded joints was evaluated. …”
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Wind Turbines Around Cut-In Speed: Startup Optimization and Behavior Analysis Reported to MPP by Cristian Paul Chioncel, Elisabeta Spunei, Gelu-Ovidiu Tirian

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Energy optimization and low-carbon development of prefabricated buildings enabled by BIM technology by Wang Yuhong, Li Xiaoqin

“…However, despite the promising prospects of Building Information Modeling (BIM) technology and prefabricated buildings in the industry, prefabricated buildings still face many challenges in practical applications, especially in terms of energy efficiency, carbon emission control, and renewable energy integration, which urgently need further optimization. There are still many challenges in the actual application process, and the impact of factors such as government regulatory mechanisms, technical standard formulation, and talent training on the high-quality development of the prefabricated building industry cannot be ignored. …”
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Effect of continuous fiber reinforcement on mechanical and tribological characteristics of cellulose and human hair fiber polymer composites by K․S․Ashraff Ali, Samraj Ravi, Vinayagam Mohanavel, Manikandan Ayyar, Selvakumar Kathiresan, Sathish Kannan, Arunkumar Munimathan, Manzoore Elahi M. Soudagar, Seeniappan Kaliappan

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Framework for Integrating Requirements Engineering and DevOps Practices in Robotic Process Automation with a Focus on Optimizing Human–Computer Interaction by Leonel Patrício, Leonilde Varela, Zilda Silveira

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A Joint Inspection-Based Preventive Maintenance and Spare Ordering Optimization Policy Using a Three-Stage Failure Process by Fei Zhao, Fengfeng Xie, Chenghua Shi, Jianshe Kang

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Optimal Diamond Burnishing of Chromium–Nickel Austenitic Stainless Steels Based on the Finishing Process–Surface Integrity–Operating Behavior Correlations by Jordan Maximov, Galya Duncheva, Mariana Ichkova, Kalin Anastasov

“…This study presents a cost-effective optimization approach based on the DB process–SI–operating behavior correlations. …”
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Upcycling cement kiln dust for manufacturing clay bricks fired at different temperatures: RSM and ANN-GA hybrid-optimization by Rahma Mebarkia, Mansour Bouzeroura, Messaouda Boumaaza, Nasser Chelouah, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Yazid Chetbani, Djamel Ghernaout

“…The primary goal is to examine how the proportion of CKD and firing temperature interact to affect the bricks' mechanical and thermal characteristics. The effects of these substances on the regulated parameters were assessed using artificial neural network (ANN) techniques and response surface methodology (RSM) in a two-variable process that included curing temperature and CKD %. …”
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Development of an organizational and economic mechanism for the implementation of a product selection recommendation system by B.V. Kosogovskii

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IGWO-MSVR model for predicting stress in coal seam during drilling process by Jian Tan, Yanfeng Geng, Liangke Xu

“…Then, utilized Grey Wolf Optimizer (GWO) model to optimize the relevant factors which appear in Modified Support Vector Regression model (MSVR). …”
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Influence of Processing Parameters on the Microstructure and Properties of Biomedical Ti-15Mo Alloy Fabricated by Laser Selective Melting by ZHU Hongmei, SHEN Shaofan, WANG Yunfei, PAN Cunliang, LUO Hao

“…To optimize the process parameters for fabricating biomedical Ti-15Mo alloy via selective laser melting (SLM)， this work systematically investigated the effects of laser processing parameters on the relative density， microstructure， mechanical properties， and corrosion resistance of specimens by optical microscopy (OM)， X-ray diffraction (XRD)， scanning electron microscopy (SEM)， universal testing machines and electrochemical workstations.Results showed that with increasing laser energy density， the relative density of Ti-15Mo alloy first progressively increased and then stabilized.The specimens exhibited equiaxed grains along the vertical direction and columnar grains parallel to the deposition direction， with a single β-phase of bcc structure constituting the phase composition.In addition， the mechanical properties of the specimens showed a positive correlation with their relative density.When the laser power was 175 W，the scanning speed was 1 500 mm/s，and the scanning spacing was 80 μm， the relative density of the as-prepared specimen reached 99.84%， and the comprehensive performance was the best.The specimens exhibited the ultimate tensile strength of 801.0 MPa， the elongation of 24.0%and the elastic modulus of 90.6 GPa.Moreover， the specimen demonstrated excellent corrosion resistance with a current density of 0.059 μA/cm2 and corrosion rate of 0.05 μm/a，meeting the stringent requirements for biomedical implant materials.…”
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Deep eutectic solvent extraction of polysaccharides from Gastrodiae elata with ultrasonic and enzymes assistance: Process optimization, structure, and antioxidant activity by De Zhou, Yunfei Hu, Tianli Zhou, Shoutao Peng, Ren Li, Jinsong He, Ming Zhao, Jinliang Shao, Qingyan Tang

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Synergistic mechanisms of steel slag, granulated blast furnace slag, and desulfurization gypsum in high-content steel slag-based cementitious backfill materials by Jianshuai Hao, Zihan Zhou, Zhonghui Chen, Yanjun Shen, Kuizhen Fang, Fei Tang, Fengyang Xin, Lingfei Zhang

“…In the steel slag-based mine backfill cementitious material systems, the hydration reaction mechanisms and synergistic effects of steel slag (SS), granulated blast furnace slag (GBFS), and desulfurization gypsum (DG) are crucial for performance optimization and regulation. …”
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Variability of ETAS parameters and their relationship with physical processes for earthquake forecasting in Africa by Thystere Matondo Bantidi, Takeshi Nishimura, Takeo Ishibe, Bogdan Enescu, Georges Mavonga Tuluka

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Energy Consumption Optimization of Multi-Dimensional U-Nets on CGLA by Duong Thi Sang, Ren Imamura, Tomoya Akabe, Yasuhiko Nakashima

“…To address these challenges, we propose the Interposed Memory Accelerator eXtension series 3 (IMAX3), a novel chiplet-based, non-von Neumann architecture with coarse-grained linear accelerator (CGLA) to efficiently support both 2D and 3D U-Net models, delivering superior energy efficiency and computational performance. IMAX3 optimizes data processing by employing advanced data preloading mechanisms and double-buffered cache memory, reducing redundant memory retrievals and minimizing inter-chip communication. …”
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Optimizing of Self-Compacting Concrete (SCC): Synergistic Impact of Marble and Limestone Powders—A Technical and Statistical Analysis by Mourad Boutlikht, Abdellah Douadi, Nour El Houda Khitas, Abderraouf Messai, Kamel Hebbache, Cherif Belebchouche, Piotr Smarzewski, Taher A. Tawfik

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The properties and formation mechanism of oat β-glucan mixed gels with different molecular weight composition induced by high-pressure processing. by Rui Fan, Peihua Ma, Dan Zhou, Fang Yuan, Xueli Cao

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