Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …

Friction stir additive manufacturing (FSAM) is applied to fabricate nanoparticle reinforced
aluminum matrix composites. Monte Carlo model and precipitate evolution model were …

In welding, the concept of optimisation had been used, till date, to serve two specific
purposes. To obtain any desired weld attributes, a set of required optimal input parameters …

Due to the high strength to the weight ratio and the ability to form the desired shape, AA2017
is extensively used in the automobile industry. The ability to join with other aluminum alloys …

There is currently a need for an efficient numerical optimization strategy for the quality of
friction stir welded (FSW) joints. However, due to the computational complexity of the multi …

This experimental investigation aims to formulate quadratic regression based empirical
model taking into account the parameters of friction stir welding (FSW) process for predicting …

Spherical silver nanoparticles with an average radius of 43 nm were synthesized using a
simple polyol method. In the present paper, simultaneous effects of four factors, namely …

Friction stir welding (FSW) is a solid-state welding process, which has a significant role in
solid-state welding processes for nonferrous alloys. Conventional arc welding processes for …

The present research examines cryogenic coolant's performance and effect on thrust force,
burr height, cutting temperature, and surface finish while drilling nano SiC reinforced Al …

The ability to produce high quality joints, with improved mechanical and metallurgical
properties, without any harmful emissions, has caused friction stir welding (FSW) to emerge …