Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

Abstract

Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the “Fanuc Robot Arc mate 100iC/12” robot. The material characteristics such as ultimate tensile strength, hardness, and impact strength of weldments are predicted using a fuzzy system using triangular membership function (TrMF) and trapezoidal membership function (TMF). The simulated results are validated by comparing with experimental work, the experiments are designed using orthogonal array L18, and material characteristics are studied using fractography test. The fuzzy system is trained with experimental results using the IF-Then rule base with the help of the L18 orthogonal array. The inference system has predicted the accuracy rate of weldment mechanical properties, showing a lower error rate.

DP1200 Çeliği Lazer Kaynak İşleminde Proses Parametrelerinin Mekanik ve Geometrik Özelliklere Etkisinin Bulanık Mantık Yöntemi ile Tahmini ve Optimizasyonu

“…Bulanık mantığın spesifik özelliği, kümelerin sınırlarının keskin olmayışından kaynaklanır. Süreç, bulanıklaştırma, kural işleme ve karar mekanizması, durulaştırma aşamalarından oluşur (Medhi et al, 2020;Palani et al, 2020;Devendran & Ashoka Varthanan, 2021). Bulanık kümeyi ifade etmede üyelik fonksiyonları kullanılmaktadır.…”

MIG-Assisted Kernel-enabled Robot (MAKER) Arm for Seamless Automobile Maintenance and Service

“…Research in this field has demonstrated the reliability of automating welding processes using robotics. For instance, a GMAW operation was automated using the 'Fanuc Robot Arc Mate 100iC/12' robot, proving the feasibility and efficiency of such systems in real-world applications [12]. The primary operational circuit consists of Arduino Mega as the microcontroller, 11 motors with varying weight capacity, MPU6050, and Proportional -Integral -Derivative (PID) controllers.…”