http://www.ivypub.org/journal/RSS.aspx?J=MED&lang=enen-US2025-12<p class="abstract">Dynamics Simulation and Optimization of Hydraulic Excavator Working Device</p><ul><li>Pages 1-6</li><li>Author Dongjun H</li><li>Abstract The performance and efficiency of hydraulic excavators heavily depend on the design and optimization of their working devices. The working device, which consists of the boom, arm, and bucket, plays a crucial role in determining the machine's digging capacity, stability, and overall operational efficiency. This paper presents a comprehensive study on the dynamics simulation and optimization of hydraulic excavator working devices. The paper outlines the fundamental principles of dynamic modeling, incorporating multi-body dynamics and hydraulic system analysis. It further explores various simulation techniques to evaluate the performance of the working device under varying operational conditions, including load and hydraulic system effects. The study also addresses performance optimization, focusing on multi-objective optimization methods that balance multiple factors such as energy efficiency, speed, and load capacity. Additionally, the paper discusses key factors influencing performance, such as mechanical design, material properties, and operational conditions. The results of the dynamic simulations and optimization analyses demonstrate potential improvements in operational efficiency and system stability, providing a valuable framework for the design and enhancement of hydraulic excavator working devices.</li></ul>/MED/paperinfo/62528.shtmlMechanical Engineering and Design /MED/paperinfo/62528.shtml2025-12<p class="abstract">Microstructure Control and Mechanical Property Optimization of High-Strength Aluminum Alloys</p><ul><li>Pages 7-13</li><li>Author Jiao Lu</li><li>Abstract High-strength aluminum alloys are widely used in industries such as aerospace, automotive, and defense due to their excellent strength-to-weight ratio and good mechanical properties. However, optimizing their mechanical properties while maintaining cost-effectiveness and processing efficiency remains a significant challenge. This paper investigates the fundamental aspects of microstructure control and mechanical property optimization in high-strength aluminum alloys. It focuses on the influence of alloy composition, heat treatments, and processing techniques on the material's strength, ductility, toughness, fatigue resistance, corrosion resistance, and wear properties. The paper also explores the role of advanced experimental techniques, such as metallographic analysis, mechanical testing, and X-ray diffraction (XRD), in characterizing the microstructure and mechanical performance of these alloys. Moreover, it emphasizes the importance of microstructure refinement, solid solution strengthening, precipitation hardening, and the addition of specific alloying elements in optimizing the alloy's overall performance. The review provides valuable insights into the key strategies for designing high-strength aluminum alloys with enhanced mechanical properties, focusing on their applications in high-performance engineering fields.</li></ul>/MED/paperinfo/62529.shtmlMechanical Engineering and Design /MED/paperinfo/62529.shtml2025-12<p class="abstract">Theoretical Modeling and Compensation of Errors in Industrial Robot Accuracy and Repeatability</p><ul><li>Pages 14-17</li><li>Author Zhou Yan</li><li>Abstract Industrial robots are integral to modern manufacturing systems, enabling high precision, high throughput, and flexibility. However, errors in accuracy and repeatability, which arise from a variety of sources such as mechanical wear, calibration issues, and environmental factors, can significantly impact the performance of industrial robots. This paper aims to explore the theoretical modeling of errors in industrial robot systems and propose compensation strategies to enhance their accuracy and repeatability. Key factors contributing to errors, such as kinematic, dynamic, and environmental influences, are discussed in detail. Additionally, the paper explores various compensation techniques, including geometric error compensation, dynamic compensation, and adaptive control approaches. Through the integration of error modeling and compensation methods, industrial robots can achieve improved performance, ensuring higher operational efficiency and product quality. The paper concludes by highlighting the challenges and future research directions for improving the accuracy and repeatability of industrial robots in practical applications.</li></ul>/MED/paperinfo/62542.shtmlMechanical Engineering and Design /MED/paperinfo/62542.shtml