STUDY ON ANALYSING THE STRENGTH AND WEAKNESS OF VARIOUS MECHANICAL MATERIALS USING THE TECHNIQUE OF ARTIFICIAL INTELLIGENCE
Dr. C. Dhandapani
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Patent No. :
202341027737 A
Filed :
15-04-2023
Published :
05-05-2023Published
KEY FACTORS IN ENHANCING INVENTORY CONTROL IN MANUFACTURING COMPANIES USING MACHINE LEARNING
Dr. Sudesh Singh
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Patent No. :
51/2023
Filed :
30-11--0001
Published :
30-11--0001Published
Scholarly Publications
Comparative Study on Metallography and Mechanical Properties of Al–Cu–Ni/FeNb Composites Fabricated by Electromagnetic Stir Casting Processes via Sand and Metal Mold System
Authors: Praveen Kumar Bannaravuri; Gadudasu Baburao; K. Ch Appa Rao; P Srinivas Rao; Anil Kumar Birru; K Samuel Charan Kumar; T. Ravi
Effect of novel grain refiner and Ni alloying additions on microstructure and mechanical properties of Al-Si9.8-Cu3.4HPDC castings - Optimization using Multi Criteria Decision making approach
Authors: K. Ch Apparao; Praveen Kumar Bannaravuri; Kumar Swamy Pulisheru; E. D. Francis; Kalakanda Alfred Sunny; Gadudasu Babu Rao; P Freedon Daniel; Anil Kumar Birru
Enhancing performance, and combustion efficiency, and reducing tailpipe emissions of an engine fuelled with hydrogen-enriched diesel and ethanol blends at varying CRs using RSM