[email protected]

(PDF) ANN Based Prediction of Ultimate Tensile Strength

ISSN(Online) :2319-8753 ISSN (Print) :2347-6710 International Journal of Innovative Research in Science, Engineering and Technology ( An I SO 3 2 9 7 :2 0 0 7 Ce rt ifie d Org a n iz a t ion ) Vol. 5 , Spe cia l I ssue 9 , M ay 2 0 1 6 ANN Based Prediction of Ultimate Tensile Strength Factors P Venkatesh Murthy 1, Gautam Suresh 2, S Pranav3, Anandan S M4, Rohit Kunnath5 Assistant In Situ estimate of ultimate tensile strength for part Sep 01, 2020 · We propose a deep learning based computer vision approach to continuously estimate the tensile strength using recent images of each printed layer, and acting to critique the efficacy of the extrusion process. This predictive model is useful for in situ part optimization, maximizing the output prediction.

Multi objective prediction and optimization of control

Jul 18, 2021 · Using Minitab 17 software. Gray Relational analysis is used to explore the optimal set of process variables and their effects on the ultimate tensile strength and hardness of weld plates. The plates are effectively welded, tensile test and hardness is measured at room temperature. Optimization and Prediction Of MIG Welding Process welding voltage, Gas flow rate, wire feed rate, etc. on weld strength, ultimate tensile strength, and hardness of weld joint, weld pool geometry of various metal material during welding. By using DOE method, the parameters can be optimize and having the best parameters combination for target quality. Optimization and Prediction of Ultimate Tensile of TIG Optimization and Prediction of Ultimate Tensile of TIG Mild Steel Welds Using RSM Pondi Pius Achebo .J Obahiagbon .K Department of Production Engineering, University of Benin, Benin City, Edo State, Nigeria Abstract TIG welding, is about the most popular welding method, which finds its applications in the fabrication industry.

Optimization of Process Parameters to Maximize

Optimization of Process Parameters to Maximize Ultimate Tensile Strength and Hardness of Underwater Friction Stir Welded Aluminium Alloys using Fuzzy Logic Ibrahim Sabry1*, Nabil Gadallah 2, M Abdel Ghafaar and MM Abdel-Mottaleb3 1Mechanical Engineering Department, Higher Future Institute of Engineering and Technology, Egypt Optimization of Pulsed Current MIG Welding Parameters 1) Optimum parameter selection from S/N ratio for UTS Ultimate Tensile Strength is larger-the-better type quality characteristic. Therefore higher values of Ultimate Tensile Strength (UTS) are considered to be optimal. It is clear from Fig. 4, that Ultimate Tensile Strength is highest at third levelof welding current, first level of gas flow rate and first level of wire feed rate (A3B1C1). Prediction of the Ultimate Tensile Strength in API X70 Prediction of the Ultimate Tensile Strength in API X70 Line Pipe Steel Using an Artificial Neural Network Model p.71 Electronic and Elastic Properties of TlX (X

Research Article Optimization and Prediction of Ultimate

the L/min range. Tests showed that our regression model was able to predict the ultimate tensile strength within %. 1. Introduction Metal Active Gas (MAG) welding process, a subtype of Gas MetalArcWelding(GMAW),hasbeenusedinwelding industry for many decades due to its signi cant advantages, includinghighproductivity,simplemechanism,goodqualityOptimization and Prediction of Ultimate Tensile Strength Dec 01, 2014 · A regression model to predict ultimate tensile strength was developed. Finally, we verified optimization of the process parameters experimentally. We achieved an optimum tensile strength (558 MPa) and wire feed rate, 19 m/min, had the greatest effect, followed by tip-to-work distance, 7 mm, welding speed, 200 mm/min, welding voltage, 30 V, and travel angle, 60°.