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High cost of clinical trials hinders further enhancement of comprehensive mechanical properties of bioresorbable scaffolds (BRS). Therefore, a multi-objective optimization method combining surrogate modeling and finite element simulation is proposed, based on the evaluation of stents with various auxetic structures and materials. The results demonstrated that re-entrant hexagon stent made of PLA (PLA-RH stent) was a more ideal candidate, with superior radial recoil and force. Following optimization, PLA-RH stent decreased bending stiffness by 60.12%, without compromising radial performances. This method enables more precise and efficient optimization and the proposed auxetic structure introduces innovative concepts for future design of stents.
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http://dx.doi.org/10.1080/10255842.2025.2556003 | DOI Listing |
Sci Rep
September 2025
Viet Tri University of Industry, Viet Tri City, 35100, Vietnam.
The tracked vehicle (TV) primarily operates on poor road surfaces, which means the vibration excitation of the road surface significantly impacts the driver's sighting efficiency and driving comfort. This is the cause of reduced vehicle combat efficiency. To address this, based on the dynamic interaction model between the TV, Seat, and Driver established in Matlab/Simulink software, all the dynamic parameters of the suspension system of the TV and seat are then simulated under different operation conditions of the TV.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
September 2025
College of Information Science and Technology, Donghua University, Shanghai, China.
High cost of clinical trials hinders further enhancement of comprehensive mechanical properties of bioresorbable scaffolds (BRS). Therefore, a multi-objective optimization method combining surrogate modeling and finite element simulation is proposed, based on the evaluation of stents with various auxetic structures and materials. The results demonstrated that re-entrant hexagon stent made of PLA (PLA-RH stent) was a more ideal candidate, with superior radial recoil and force.
View Article and Find Full Text PDFPLoS One
September 2025
Department of design fundamentals, Faculty of Mechanical Engineering, Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam.
The slider-crank mechanism (SCM) is fundamental to various mechanical systems. However, optimizing its dynamic performance remains a pressing challenge due to excessive torque, joint reactions, and energy consumption. This study introduces two key innovations to address these challenges: (1) the integration of springs into SCM to optimize dynamic performance and (2) a novel hybrid optimization approach combining the Conjugate Direction with Orthogonal Shift (CDOS) method and Parameter Space Investigation (PSI).
View Article and Find Full Text PDFJ Environ Manage
September 2025
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
Agricultural supply chains face significant challenges in achieving food security and sustainability, particularly due to climate change and waste production. Effectively managing these supply chains, especially in the context of uncertainties, is crucial for optimizing resource use and minimizing waste. This research develops a multi-objective optimization for designing a sustainable and responsive closed-loop agricultural supply chain network, focusing on jujube products under uncertain conditions.
View Article and Find Full Text PDFSci Rep
September 2025
Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China.
The processing-transportation composite robots, with their dual functions of processing and transportation, as well as comprehensive robot-machine interactions, have been widely and efficiently applied in the manufacturing industry, leading to a continuous increase in energy consumption. Hence, this work focuses on investigating robot-machine integrated energy-efficient scheduling in flexible job shop environments. To address the new problem, an innovative mixed-integer linear programming model and a novel dual-self-learning co-evolutionary algorithm are proposed, aimed at minimizing the total energy consumption and makespan.
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