FEM Modelling for manufactured composite for the piston ring material and post-performance-based validation: A Review
Ashok Kumar Bishnoi
, Naveen Ghanghas
Grene, Fleash, FEM models, SEM tests, FEM ring
This survey includes two separate hybrid experiments: grene / graphite and fleash / graphite, 4 similar checks. Two independent Research Analysis of findings based on experimental and FEM models. Creation of engineered composite for piston ring material and performance-based testing. This survey study focuses on 7075 hybrid alloy composites in this modeling and experimental inquiry. The wear tests detected under SEM observation demonstrate oxide layer development, i.e. mechanical, iron- and aluminum-oxide mixed coating, which leads to the composite material's enhanced wear resistance. Sliding wear pattern and SEM tests splits are also well known. The Taguchi approach is used to refine experimental wear parameters. And the main parameters were load, followed by reinforcement and sliding speed. The required temperature and moving size parameters. FEM ring research indicates validity of the proposed piston ring material. And the stresses created in the piston configuration were found to be below normal limits. Based on various critical parameters for a material to be used as piston rind in comparative study, the contrast of conventionally used material and the composite created is seen. Another method of composite making as pow we can use metallurgy instead of stir-casting.
"FEM Modelling for manufactured composite for the piston ring material and post-performance-based validation: A Review", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 4, page no.465 - 470, April-2020, Available :https://ijsdr.org/papers/IJSDR2004085.pdf
Volume 5
Issue 4,
April-2020
Pages : 465 - 470
Paper Reg. ID: IJSDR_192370
Published Paper Id: IJSDR2004085
Downloads: 000347244
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave