Reinventing quality in foundry castings through gearbox housing optimization: A case study approach

Patil Sachin, Naik Girish, Naik Poornima
{"title":"Reinventing quality in foundry castings through gearbox housing optimization: A case study approach","authors":"Patil Sachin, Naik Girish, Naik Poornima","doi":"10.30574/gjeta.2023.17.2.0231","DOIUrl":null,"url":null,"abstract":"The Indian Foundry cluster is a key player in the production of metal castings used across various industries, including automobiles, railways, machinery, sanitary appliances, pipes, gears, earth-moving equipment, cement, electric circuits, pumps, valves, and wind turbines. Grey iron is the predominant material, constituting around 68% of all cast parts. In this context, Kolhapur plays a pivotal role in the production of diverse castings in India, primarily focusing on grey iron and SG iron castings, both of which are ferrous materials. The Kolhapur Cluster of Foundries is expected to produce approximately 650,000 tonnes annually, contributing about 7% of India's total cast iron production. However, this cluster encountered challenges related to higher rejection rates for castings due to a variety of defects. One established foundry in Kolhapur faced stricter rejection standards for specific castings. To address these issues, a comprehensive case study was conducted to reduce rejection rates in this foundry. The primary focus of the study was on a specific casting, the Gearbox Housing, which had an initial average rejection rate of 13%. In some instances, this rejection rate spiked to as high as 18% in a single month, resulting in significant revenue losses for the company. The defects observed in Gearbox Housing castings were categorized into two main types: Methoding, Filling, and Solidification-related defects, which included issues like shrinkage porosity and hot tears. Sand and mold-related defects, such as sand inclusion, sand drop, and mold quality issues. The initial step in addressing these defects involved utilizing casting simulation techniques to analyze and tackle shrinkage and porosity issues. A new gating system was designed to enhance the casting process. In the subsequent stage of defect reduction, the Design of Experiment (DoE) tool was employed. This data-driven approach helped refine and optimize the manufacturing process to minimize defects and enhance the overall quality of Gearbox Housing castings. By implementing these strategies, the foundry in Kolhapur successfully reduced rejection rates, thereby safeguarding company revenue and ensuring the production of high-quality castings for various industrial applications.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Journal of Engineering and Technology Advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30574/gjeta.2023.17.2.0231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Indian Foundry cluster is a key player in the production of metal castings used across various industries, including automobiles, railways, machinery, sanitary appliances, pipes, gears, earth-moving equipment, cement, electric circuits, pumps, valves, and wind turbines. Grey iron is the predominant material, constituting around 68% of all cast parts. In this context, Kolhapur plays a pivotal role in the production of diverse castings in India, primarily focusing on grey iron and SG iron castings, both of which are ferrous materials. The Kolhapur Cluster of Foundries is expected to produce approximately 650,000 tonnes annually, contributing about 7% of India's total cast iron production. However, this cluster encountered challenges related to higher rejection rates for castings due to a variety of defects. One established foundry in Kolhapur faced stricter rejection standards for specific castings. To address these issues, a comprehensive case study was conducted to reduce rejection rates in this foundry. The primary focus of the study was on a specific casting, the Gearbox Housing, which had an initial average rejection rate of 13%. In some instances, this rejection rate spiked to as high as 18% in a single month, resulting in significant revenue losses for the company. The defects observed in Gearbox Housing castings were categorized into two main types: Methoding, Filling, and Solidification-related defects, which included issues like shrinkage porosity and hot tears. Sand and mold-related defects, such as sand inclusion, sand drop, and mold quality issues. The initial step in addressing these defects involved utilizing casting simulation techniques to analyze and tackle shrinkage and porosity issues. A new gating system was designed to enhance the casting process. In the subsequent stage of defect reduction, the Design of Experiment (DoE) tool was employed. This data-driven approach helped refine and optimize the manufacturing process to minimize defects and enhance the overall quality of Gearbox Housing castings. By implementing these strategies, the foundry in Kolhapur successfully reduced rejection rates, thereby safeguarding company revenue and ensuring the production of high-quality castings for various industrial applications.
通过优化变速箱壳体重塑铸造铸件质量:案例研究法
印度铸造业集群是生产汽车、铁路、机械、卫生设备、管道、齿轮、推土设备、水泥、电路、泵、阀门和风力涡轮机等各行各业所用金属铸件的主要企业。灰铁是主要材料,约占所有铸件的 68%。在这种情况下,科尔哈布尔在印度各种铸件的生产中发挥着举足轻重的作用,主要集中于灰铁和 SG 铁铸件,这两种铸件都是黑色金属材料。科尔哈布尔铸造厂集群预计年产量约为 65 万吨,约占印度铸铁总产量的 7%。然而,该集群遇到的挑战是,由于各种缺陷,铸件的废品率较高。位于科尔哈布尔的一家铸造厂面临着对特定铸件更严格的废品标准。为解决这些问题,我们开展了一项综合案例研究,以降低该铸造厂的废品率。研究的主要重点是齿轮箱壳体这一特定铸件,该铸件最初的平均废品率为 13%。在某些情况下,这一不合格率在一个月内飙升至 18%,给公司造成了巨大的收入损失。在变速箱壳体铸件中观察到的缺陷主要分为两类:方法、填充和凝固相关缺陷,包括缩孔和热裂等问题。砂和模具相关缺陷,如夹砂、掉砂和模具质量问题。解决这些缺陷的第一步是利用铸造模拟技术来分析和解决缩孔和气孔问题。设计了一个新的浇口系统,以提高铸造工艺。在减少缺陷的后续阶段,采用了实验设计(DoE)工具。这种以数据为导向的方法有助于完善和优化制造工艺,最大限度地减少缺陷,提高变速箱壳体铸件的整体质量。通过实施这些策略,科尔哈布尔的铸造厂成功地降低了废品率,从而保障了公司的收入,并确保为各种工业应用生产出高质量的铸件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信