Investigation of Forging Tools on the Basis of Subjective Assessment of Tool Life

Author:

Karaman Abdulkerim1,Labs Rainer1,Marré Michael1

Affiliation:

1. South Westphalia University of Applied Sciences

Abstract

Forging tools must be able to withstand very strong mechanical, thermal, tribological, and chemical stresses. The extent to which a tool can withstand these stresses depends on the material used and its pre-treatment as well as the heat and surface treatment, i.e. the load capacity. The ratio of stress to load capacity determines how high the tool life of a forging tool is. This paper deals with the variations in the tool life of forging tools using the example of a specific industrial stage sequence and production conditions. Due to a large number of influencing variables that have an effect on the tool during the entire tool life history, the focus of this work is placed on influencing variables of the forming process. Based on real production parameters of a forging company, which are recorded during a period for the investigation, the process data are analyzed about an influence on the tool life. The investigation focuses on four influencing variables, namely the subjective assessment of the end of the tool life, the interaction between the forming stages, production interruptions, and the cooling and lubrication of the forming tools. For the parameters that are not yet recorded during the trials, promising available measurement methods are identified and tested under laboratory conditions. One example of this is the recording of the actual spray quantities that are sprayed onto the tool surface before the forming process. The results of the investigations show that the tool life fluctuations can be reduced by about 16% and as a consequence, the average tool life can be increased by about 13%.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference25 articles.

1. W. Haggenmueller, P. Grupp, M. Marré, D. Beihofer, Resource Efficiency and Industry 4.0 for Forming Machines, 2015, 10.13140/RG.2.1.4493.(1925).

2. T. Traub, Methodik zur Konzeption entscheidungsunterstützender Assistenzsysteme am Beispiel des Walzprofilierens, (2019).

3. G. Gambhire, R. Dhake, A. Patil, N. Abhishek, S. Nagrale, Productivity Improvement in Forging Industry Using Industrial Engineering Techniques, International Conference on Smart Technologies for Digital World- Industrial Engineering Perspective, (2016).

4. M. Liewald, C. Karadogan, A. Felde, R. Lodwig, Development and Integration of Digital Technologies in the Forging Process Sequence. New Developments in Forging Technology, Page 245, 15-17 May (2017).

5. V.P. Andelfinger, T. Hänisch, Industrie 4.0. Wie cyber-physische Systeme die Arbeitswelt verändern, Wiesbaden, (2017).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3