APPLICATION OF TRI-VECTOR ANALYSIS TO IDENTIFY THE OPTIMUM COATING THICKNESS IN INDUCED DRAFT FANS

Author:

SARANGI SANGITA1,BEHERA AJAY KUMAR1,BAJPAI SHUBHRA2,SAHOO SUBHADRA3,SETHY SUNITA4,DAS SUDHANSU RANJAN4ORCID

Affiliation:

1. Department of Mechanical Engineering, Institute of Technical Education and Research, Siksha O Anusandhan (Deemed to be University), Bhubaneswar 751030, Odisha, India

2. Institute of Minerals and Materials Technology, Council of Scientific and Industrial Research (CSIR-IMMT), Bhubaneswar 751013, Odisha, India

3. Department of Metallurgical Engineering, Veer Surendra Sai University of Technology, Burla 768018, Odisha, India

4. Department of Production Engineering, Veer Surendra Sai University of Technology, Burla 768018, Odisha, India

Abstract

An atmospheric plasma spray deposition process was adopted for coating regular-shaped, Stellite 6 powder directly on a rolled 3[Formula: see text]mm size AISI 304 austenitic grade stainless steel substrate without any intermediate bond layers. Coating thickness as measured in a scanning electron microscope was obtained as 74 [Formula: see text]m, 128 [Formula: see text]m, and 215 [Formula: see text]m. An experimental investigation of the functional behavior such as corrosion, microhardness, and erosion of the coated steel at different operating temperatures was undertaken to determine the suitability of its application in the industry. Erosion tests were conducted in an air jet tribo-tester utilizing alumina as an erodent with normal impingement angle at room temperature, 300C, and 600C. It was difficult to identify a single coating thickness that can be satisfactorily used for superior erosive wear properties with corrosion resistance. So modern management tools such as tri-vector and technology sieve analysis procedures as identification techniques were adopted for the selection of the best coating thickness by complying with the mechanical, erosion, and corrosion resistance properties. Steel coated with 128-[Formula: see text]m coating thickness provides the best result for a combination of functional characteristics.

Publisher

World Scientific Pub Co Pte Ltd

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