NEUROQUANTOLOGY | SEPTEMBER 2022 | VOLUME 20 | ISSUE 11 | PAGE 7331-7343| DOI: 10.14704/NQ.2022.20.11.NQ66727 Rahul Warghane et al / Design Optimization of Thresher Mechanism eISSN1303-5150 www.neuroquantology.com Design Optimization of Thresher Mechanism * Rahul Warghane 1 , Rajkumar E. 2, Swapnil Nawale 3 , Swapnil Deokar 1 Ph.D. Scholar, SMEC, Vellore Institute of Technology-, VIT University Vellore,Tamil-Nadu,632014 India Mb.+919423288534 2 Associate Professor , Faculty of Mechanical Engineering , Vellore Institute of Technology- , Vellore,Tamil-Nadu,632014, India +91 7030787656 3 Assistant Professor , Faculty of Mechanial Engineering , Pillai HOC College of Engineering & Technology Raigad Maharashtra 410210, India+919822554409 4 Assistant Professor , Faculty of Mechanical Engineering , Sinhgad College of Engineering Pune Maharashtra 410210, India 1. Email: warghanerahul1@gmail.com 2. Email: rajkumar.e@vit.ac.in 3. Email: bswapnil@mes.ac.in 4. Email: swapnildeokar00@gmail.com Till date the thresher design is on the basis of test trial results. There is no firm mechanical design process is available. In this research the design of thresher on the basis of mechanical failure approach of design is described. The mathematical modelling of material failure in rasp bar thresher is done. The impact shelling and lattice vibration model at the threshing unit is observed and system modelling is provided. The governing; parameters of system design are trace on the basis of geometric configuration. The design is evaluated for its static structural failure on Ansys. The design is safe for static and dynamic loading. The thresher design approach is validated by statistical tools and the highest threshing efficiency of 98.15 % recorded. The statistical threshing efficiency is validated by estimating the threshing efficiency of on experimentally developed model. The experimental result provides the maximum threshing efficiency of 98.31 %. The maximum variation in results is less than 1%. The design approach proposed provides the best results for thresher design formulation. The performance results give the maximum grain damage of 1.7 %, and the cleaning efficiency of 95.4 %. The proposed design eliminates the traditional test trial design approach and provides the optimum parameters for design formulation. Keywords: thresher design, design validation, statistical threshing efficiency.experimental validation DOINumber:10.14704/nq.2022.20.11.NQ66727 NeuroQuantology2022;20(11):7331-7343 1.Introduction . Separation of grain from the enclosing husk can be achieved by striking the ears or by squeezing [1]. In either case the ears are deposited on hard surface. In mechanical separation threshing unit both these factors are applied. Andrew Mickel in 1785 was the first who introduced thresher mechanism to replace laborious manual seed extraction. The base mechanism for the modern thresher mechanism is same till date [2]. The basic frame model of Mickle thresher consists of four revolving rasp bars attached on a circumference of drum which was enclosed by sheet metal casing now called as concave. Threshing process took place in 7331