低速淬火合金钢轧辊数控车削比能耗优化

IF 2.6 Q1 ENGINEERING, MULTIDISCIPLINARY Journal of Engineering Design and Technology Pub Date : 2023-07-26 DOI:10.1108/jedt-03-2023-0088
K. Noor, M. Siddiqui, A. Syed
{"title":"低速淬火合金钢轧辊数控车削比能耗优化","authors":"K. Noor, M. Siddiqui, A. Syed","doi":"10.1108/jedt-03-2023-0088","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study was conducted to analyze the effects of machining parameters on the specific energy consumption in the computerized numerical control lathe turning operation of a hardened alloy steel roll at low cutting speeds. The aim was to minimize its consumption.\n\n\nDesign/methodology/approach\nThe design matrix was based on three variable factors at three levels. Response surface methodology was used for the analysis of experimental results. Optimization was carried out by using the desirability function and genetic algorithm. A multiple regression model was used for relationship build-up.\n\n\nFindings\nAccording to desirability function, genetic algorithm and multiple regression analysis, optimal machining parameters were cutting speed 40 m/min, feed 0.2 mm/rev and depth of cut 0.50 mm, which resulted in minimal specific energy consumption of 0.78, 0.772 and 0.78 kJ/mm3, respectively. Correlation analysis and multiple regression model found a quadratic relationship between specific energy consumption with power consumption and material removal rate.\n\n\nOriginality/value\nIn the past, many researchers have developed mathematical models for specific energy consumption, but these models were developed at high cutting speed, and a majority of the models were based on the material removal rate as the independent variable. This research work developed a mathematical model based on the machining parameters as an independent variable at low cutting speeds, for a new type of large-sized hardened alloy steel roll. A multiple regression model was developed to build a quadratic relationship of specific energy consumption with power consumption and material removal rate. This work has a practical application in hot rolling industry.\n","PeriodicalId":46533,"journal":{"name":"Journal of Engineering Design and Technology","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of specific energy consumption in CNC turning of a hardened alloy steel roll at low cutting speeds\",\"authors\":\"K. Noor, M. Siddiqui, A. Syed\",\"doi\":\"10.1108/jedt-03-2023-0088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study was conducted to analyze the effects of machining parameters on the specific energy consumption in the computerized numerical control lathe turning operation of a hardened alloy steel roll at low cutting speeds. The aim was to minimize its consumption.\\n\\n\\nDesign/methodology/approach\\nThe design matrix was based on three variable factors at three levels. Response surface methodology was used for the analysis of experimental results. Optimization was carried out by using the desirability function and genetic algorithm. A multiple regression model was used for relationship build-up.\\n\\n\\nFindings\\nAccording to desirability function, genetic algorithm and multiple regression analysis, optimal machining parameters were cutting speed 40 m/min, feed 0.2 mm/rev and depth of cut 0.50 mm, which resulted in minimal specific energy consumption of 0.78, 0.772 and 0.78 kJ/mm3, respectively. Correlation analysis and multiple regression model found a quadratic relationship between specific energy consumption with power consumption and material removal rate.\\n\\n\\nOriginality/value\\nIn the past, many researchers have developed mathematical models for specific energy consumption, but these models were developed at high cutting speed, and a majority of the models were based on the material removal rate as the independent variable. This research work developed a mathematical model based on the machining parameters as an independent variable at low cutting speeds, for a new type of large-sized hardened alloy steel roll. A multiple regression model was developed to build a quadratic relationship of specific energy consumption with power consumption and material removal rate. This work has a practical application in hot rolling industry.\\n\",\"PeriodicalId\":46533,\"journal\":{\"name\":\"Journal of Engineering Design and Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Design and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jedt-03-2023-0088\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Design and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jedt-03-2023-0088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

目的分析淬火合金钢轧辊在低切削速度下数控车削过程中,加工参数对比能耗的影响。其目的是尽量减少其消耗。设计/方法论/方法设计矩阵基于三个层次的三个可变因素。采用响应面方法对实验结果进行分析。利用期望函数和遗传算法进行了优化。采用多元回归模型建立了关系。根据期望函数、遗传算法和多元回归分析,最优加工参数为切削速度40 m/min,进料0.2 mm/rev和切割深度0.50 mm,这导致最小比能耗为0.78、0.772和0.78 kJ/mm3。相关分析和多元回归模型发现,比能耗与能耗和物料去除率之间存在二次关系。原创性/价值过去,许多研究人员开发了特定能耗的数学模型,但这些模型是在高切割速度下开发的,大多数模型都是基于材料去除率作为自变量。本研究开发了一种新型大型淬火合金钢轧辊在低切削速度下以加工参数为自变量的数学模型。建立了一个多元回归模型,建立了比能耗与能耗和物料去除率的二次关系。这项工作在热轧工业中有实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Optimization of specific energy consumption in CNC turning of a hardened alloy steel roll at low cutting speeds
Purpose This study was conducted to analyze the effects of machining parameters on the specific energy consumption in the computerized numerical control lathe turning operation of a hardened alloy steel roll at low cutting speeds. The aim was to minimize its consumption. Design/methodology/approach The design matrix was based on three variable factors at three levels. Response surface methodology was used for the analysis of experimental results. Optimization was carried out by using the desirability function and genetic algorithm. A multiple regression model was used for relationship build-up. Findings According to desirability function, genetic algorithm and multiple regression analysis, optimal machining parameters were cutting speed 40 m/min, feed 0.2 mm/rev and depth of cut 0.50 mm, which resulted in minimal specific energy consumption of 0.78, 0.772 and 0.78 kJ/mm3, respectively. Correlation analysis and multiple regression model found a quadratic relationship between specific energy consumption with power consumption and material removal rate. Originality/value In the past, many researchers have developed mathematical models for specific energy consumption, but these models were developed at high cutting speed, and a majority of the models were based on the material removal rate as the independent variable. This research work developed a mathematical model based on the machining parameters as an independent variable at low cutting speeds, for a new type of large-sized hardened alloy steel roll. A multiple regression model was developed to build a quadratic relationship of specific energy consumption with power consumption and material removal rate. This work has a practical application in hot rolling industry.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Engineering Design and Technology
Journal of Engineering Design and Technology ENGINEERING, MULTIDISCIPLINARY-
CiteScore
6.50
自引率
21.40%
发文量
67
期刊介绍: - Design strategies - Usability and adaptability - Material, component and systems performance - Process control - Alternative and new technologies - Organizational, management and research issues - Human factors - Environmental, quality and health and safety issues - Cost and life cycle issues - Sustainability criteria, indicators, measurement and practices - Risk management - Entrepreneurship Law, regulation and governance - Design, implementing, managing and practicing innovation - Visualization, simulation, information and communication technologies - Education practices, innovation, strategies and policy issues.
期刊最新文献
Development and validation of a framework for improving health and safety risk management at informal construction sites in Tanzania Impact of project risk allocation on PPP housing project delivery in Nigeria: partial least square structural equation modeling approach Ensemble of ensembles for fine particulate matter pollution prediction using big data analytics and IoT emission sensors Resource sustainability in the water, energy and food nexus: role of technological innovation Mechanical and microstructural characteristics of structural concrete containing RCA treated with sodium metasilicate
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1