An experimental investigation of Quench Polish Quench (QPQ) coating on AISI 4150 steel

Author:

Boopathi SampathORCID

Abstract

Abstract In this research, the hardness, layer thickness, and corrosion rate of the nitro-carburizing coating on AISI 4150 steel using the Quench-Polish-Quench (QPQ) process have been investigated. Nitro-carburizing temperature (T), nitro-carburizing time (tc), and oxidation time (to) are considered coating parameters. The experiments were designed and analyzed to investigate the effects of coating parameters on responses by the Taguchi method. A 590 °C temperature of the nitro-carburizing solution and a 145 min duration of both the nitro-carburizing and oxidizing processes have been predicted to obtain the maximum micro-hardness (504.71 HV) and coating-layer thickness (13.60 μm). A 570 °C temperature of the nitro-carburizing solution with the same process time is predicted to obtain the lowest corrosion rate (1.27 mm/miles). The optimum parameters set are used to perform Scanning electron microscopy (SEM), x-ray diffraction (XRD), and Energy-Dispersive x-ray Spectroscopy (EDS) analyses.

Publisher

IOP Publishing

Subject

General Engineering

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Smart Energy Systems-Integrated Machine Learning, IoT, and AI Tools;Advances in Environmental Engineering and Green Technologies;2024-06-07

2. A Comprehensive Exploration of Mathematical Programming and Optimization Techniques in Electrical and Electronics Engineering;Advances in Web Technologies and Engineering;2024-05-16

3. Utilizing Waste Water for Sustainable Energy Generation via IoT-Integrated Technologies;Advances in Chemical and Materials Engineering;2024-04-26

4. Utilizing Waste Water for Sustainable Energy Generation via IoT-Integrated Technologies;Advances in Finance, Accounting, and Economics;2024-03-22

5. Fog Computing-Integrated ML-Based Framework and Solutions for Intelligent Systems;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-03-18

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