Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …

Tribology research mainly focuses on the friction, wear, and lubrication between interacting
surfaces. With the continuous increase in the industrialization of human society, tribology …

The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …

As the need for clean and sustainable energy sources grows rapidly, green hydrogen and
ammonia have become promising sources of low-carbon energy and important key players …

Predictive maintenance refers to predicting malfunctions using data from monitoring
equipment and process performance measurements. Machine learning algorithms and …

Friction stir welding is a method used to weld together materials considered challenging by
fusion welding. FSW is primarily a solid phase method that has been proven efficient due to …

In the present study, experimental works on friction stir spot welding (FSSW) of dissimilar AA
7075-T651/Ti-6Al-4V alloys under various process conditions to weld joints have been …

This paper talks about how machine learning techniques can be applied in the welding
industry. Machine learning techniques could be used to find solutions to the problems faced …

In the modern era, welding systems have been made smart with the inclusion of
contemporary information technologies such as intelligent manufacturing and machine …

Post weld heat treatment, or PWHT, is often used to improve the mechanical properties of
materials that have been welded. Several publications have investigated the effects of the …