2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)最新文献_第4页

Modelling and Optimization of the Cutting Parameters for the Milling Operation of Titanium Alloy (Ti6Al4V) 钛合金(Ti6Al4V)铣削加工切削参数建模与优化

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041193

D. Ilesanmi, Isaac Thlabadira, S. Phokobye, Siviwe Mrausi, K. Mpofu, L. Masu

{"title":"Modelling and Optimization of the Cutting Parameters for the Milling Operation of Titanium Alloy (Ti6Al4V)","authors":"D. Ilesanmi, Isaac Thlabadira, S. Phokobye, Siviwe Mrausi, K. Mpofu, L. Masu","doi":"10.1109/ICMIMT49010.2020.9041193","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041193","url":null,"abstract":"Titanium alloy (Ti6Al4V) possesses excellent mechanical properties, but its machinability at high temperature and speed often lead to vibration and subsequently chatter during machining operations. In this work, the modelling and optimization of the cutting parameters for the milling operations of titanium alloy Ti6Al4V was carried out. The numerical experiment was conducted using the Response Surface Methodology (RSM). The process parameters considered include; the maximum chip thickness (0.1-0.2 mm), cutting speed (29000-34000 mm/min) and feed per tooth (0.14 - 0.28 mm). These process parameters were varied over different levels. The physical experiment was conducted on a DMU80monoBLOCK Deckel Maho 5-axis CNC milling with the stationary dynamometer (KISTLER 9257A 8-Channel Summation of Type 5001A Multichannel Amplifier) mounted directly to the machine table with the titanium alloy screwed to it. The response of the experiment; cutting force for each of the experimental trial was collected through the Data Acquisition System (DAS) of the Kistler Dynamometer. The results obtained indicate significant model terms which implies that the developed model is suitable for predictive purpose and that the process parameters can significantly influence the magnitude of the cutting forces.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Job Shop Scheduling Problem with Job Sizes and Inventories 具有作业规模和库存的作业车间调度问题

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041174

Shen Xinyi, W. Aimin, Ge Yan, Ye Jieran

引用次数: 2

Flexible Job-Shop Scheduling with Setups and Variable Sublots 具有设置和可变子批次的灵活作业车间调度

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041218

Ge Yan, W. Aimin, Zhao Zijin

引用次数: 3

ICMIMT 2020 Message from the Conference Chair ICMIMT 2020主席致辞

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/icmimt49010.2020.9041197

引用次数: 0

Improving the Algorithm of Automated Gage Control during Shaped Feed Rolling on a Plate Mill 改进中厚板成形轧制自动厚度控制算法

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041207

V. Gasiyarov, A. Radionov, A. Karandaev, V. Khramshin, B. Loginov

{"title":"Improving the Algorithm of Automated Gage Control during Shaped Feed Rolling on a Plate Mill","authors":"V. Gasiyarov, A. Radionov, A. Karandaev, V. Khramshin, B. Loginov","doi":"10.1109/ICMIMT49010.2020.9041207","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041207","url":null,"abstract":"It was noted that the cause for increased waste during plate rolling is the plate shape deviation (non-rectangular). An efficient method for improving the plate sheet (in plan view) is forming conical shapes on the head and end areas in final runs during broaching and width breakdown. The paper presents the ASC (automated size control) technology that incorporates a multiple-point strategy for gage setting along the rolling length. The paper considers a simplified structural diagram of the automated gage control system (AGCS) of plate mill 5000. Following the oscillogram analysis, it was concluded that the gage control accuracy in shaped rolling areas, upon the given AGCS configuration, is intolerable. The paper suggests a method for enhancing the accuracy of controlling with affecting the screwdown device position in the gage setting signal function (feedforward control). The paper presents the structure of a double-circuit AGCS with an additional setting signal-based control channel. Also, this paper presents the analysis of time relationships of the feed gage derived from simulation modeling during implementing the designed and developed algorithms. The reduction in the control error by means of enhancing the AGCS operating speed was proven. Oscillograms obtained during implementing the developed algorithms in the APCS of the plate mill 5000 reversing stand were analyzed. It was proven that the quality of the plate rolled was improved by virtue of reducing the gage difference in end areas.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133889272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Towards Incorporating Industry 4.0 Practices and Hybridized Jobs within the Agricultural Sector 在农业领域融入工业4.0实践和混合工作

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041152

S. Winberg

{"title":"Towards Incorporating Industry 4.0 Practices and Hybridized Jobs within the Agricultural Sector","authors":"S. Winberg","doi":"10.1109/ICMIMT49010.2020.9041152","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041152","url":null,"abstract":"There is an ever-increasing desire for higher agricultural production, greater flexibility and better quality of crops – but doing this using less fossil fuel, less waste and in more ethical ways causing minimal environmental harm. The farming ecosystems are already notoriously fragile: failure of crops or a lack of labor can cause a farm to flounder – and these additional pressures may cause the practice of farming to be even more difficult. Industry 4.0 is on the rise – and indeed these technologies have found widespread adoption, to varying degrees, through the agricultural sector. But are these Industry 4.0 technologies for the greater good? What do these technologies mean to farming? What is the likely impact on faming-related jobs? These issues are explored in greater depth in this paper, where it is revealed that not all these technologies lead to massive job losses; they may rather lead to farm workers breaking away from ‘job lock’ by developing greater farming skills and becoming highly responsible and responsive elements of a robust farming ecosystem.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132323209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Smart Manufacturing Traceability for Automotive E/E Systems enabled by Event-Driven Microservice Architecture 事件驱动微服务架构支持的汽车E/E系统智能制造可追溯性

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041240

Marlene Kuhn, J. Franke

引用次数: 7

SiCp/Al milling force optimization and empirical formula modeling SiCp/Al铣削力优化及经验公式建模

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041209

W. Kang, W. Aimin, Xu Kai, Chang Xiaofei

引用次数: 0

Advances in Fine and Ultrafine Particles Emission and Dispersion in Machining: cases of metals and granite 微细和超细颗粒在加工中的发射和分散研究进展:以金属和花岗岩为例

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041187

V. Songmene, O. Olufayo

引用次数: 1

Sustainable Face-Machining of a Ti-6Al-4V Rod under Cooling Environments of Liquid Nitrogen and CO2 Snow 液氮和CO2雪冷却环境下Ti-6Al-4V棒的可持续性加工

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) Pub Date : 2020-01-01 DOI: 10.1109/ICMIMT49010.2020.9041185

A. Iqbal, G. Zhao, Hazwani Suhaimi, M. M. Nauman

引用次数: 0