{"title":"通过基于 ESG 的设计优化提高五轴机床性能","authors":"Aman Ullah, Tzu-Chi Chan, Shinn-Liang Chang","doi":"10.1007/s40684-024-00642-8","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":14238,"journal":{"name":"International Journal of Precision Engineering and Manufacturing-Green Technology","volume":"78 1","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Five-Axis Machine Tool Performance Through ESG-Based Design Optimization\",\"authors\":\"Aman Ullah, Tzu-Chi Chan, Shinn-Liang Chang\",\"doi\":\"10.1007/s40684-024-00642-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":14238,\"journal\":{\"name\":\"International Journal of Precision Engineering and Manufacturing-Green Technology\",\"volume\":\"78 1\",\"pages\":\"\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Precision Engineering and Manufacturing-Green Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s40684-024-00642-8\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Precision Engineering and Manufacturing-Green Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40684-024-00642-8","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Enhancing Five-Axis Machine Tool Performance Through ESG-Based Design Optimization
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.
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.