Enhancing Five-Axis Machine Tool Performance Through ESG-Based Design Optimization

IF 5.3 3区 工程技术 Q1 ENGINEERING, MANUFACTURING
Aman Ullah, Tzu-Chi Chan, Shinn-Liang Chang
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Abstract

Today’s economic environment, the machine tool industry continually focuses on enhancing performance while reducing costs, conserving energy, and minimizing environmental impacts. This study employs a CAD-generated virtual model to assess the performance of key components in a 5-axis machine tool. The primary focus of this work on machine components' optimization design is to enhance machining performance, addressing both static and modal aspects generally leading to structural integrity of the machine and consumption conservation of energy. Initially, the modal impact experiments carried out on machine tool are verified by the mechanical numerical code to further carry out novel tests. Modal frequency differences (2.4–6.7%), as revealed by comparative analysis, validate the accuracy of the model setup and boundary conditions within a 10% threshold, allowing for the development of novel studies with accepted discrepancies. Then density-based optimization approach is employed to redesign the machine tools, aiming to raise the intrinsic oscillation frequency of the structure and minimize structural deformation from 0.021957 to 0.020864 µm respectively for the final optimized tool turret. After this, the model is forwarded for structural verification. This approach introduces a design-for-remanufacturing strategy, enhancing existing products by improving functionality and rectifying damaged components. Such optimization leads to lightweight structures and requires less material for reproducing parts. With the increasing demand in ESG (environmental, social, and governance) investments and emphasis for the potential of substantial energy savings through lattice optimization. The potential for substantial energy savings and reduction in environmental effects by optimization of a five-axis machine tool with utilization of ESG factors in considerations. The lattice optimization of machine components led to a 64.24% reduction in energy consumption, demonstrating the feasibility and benefits of integrating ESG principles into machine tool design.

Abstract Image

通过基于 ESG 的设计优化提高五轴机床性能
在当今的经济环境下,机床行业不断关注如何在提高性能的同时降低成本、节约能源并最大限度地减少对环境的影响。本研究采用 CAD 生成的虚拟模型来评估五轴机床关键部件的性能。机床部件优化设计工作的主要重点是提高加工性能,同时解决静态和模态方面的问题,从而实现机床的结构完整性和节能降耗。首先,对机床进行模态冲击实验,并通过机械数值代码进行验证,以进一步开展新的测试。通过对比分析发现的模态频率差异(2.4-6.7%)验证了模型设置和边界条件的准确性,误差在 10%以内,从而可以在可接受的误差范围内开展新的研究。然后,采用基于密度的优化方法重新设计机床,旨在提高结构的固有振荡频率,并将最终优化的刀塔结构变形从 0.021957 微米降至 0.020864 微米。之后,该模型将被用于结构验证。这种方法引入了为再制造而设计的策略,通过改进功能和修正损坏部件来增强现有产品。这种优化可实现结构轻量化,并减少复制部件所需的材料。随着对 ESG(环境、社会和治理)投资的需求不断增加,以及对通过晶格优化大幅节能潜力的重视。在考虑 ESG 因素的情况下,通过优化五轴机床,可大幅节约能源并减少对环境的影响。机床部件的晶格优化使能耗降低了 64.24%,证明了将环境、社会和治理原则融入机床设计的可行性和益处。
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来源期刊
CiteScore
10.30
自引率
9.50%
发文量
65
审稿时长
5.3 months
期刊介绍: Green Technology aspects of precision engineering and manufacturing are becoming ever more important in current and future technologies. New knowledge in this field will aid in the advancement of various technologies that are needed to gain industrial competitiveness. To this end IJPEM - Green Technology aims to disseminate relevant developments and applied research works of high quality to the international community through efficient and rapid publication. IJPEM - Green Technology covers novel research contributions in all aspects of "Green" precision engineering and manufacturing.
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