The use of machine learning (ML) has been widely used to control part dimensions during
production. Parts manufactured in the automotive sectors also use ML to obtain better …

Analytical models based on physical metallurgy are of limited ability to predict the strength of
steel due to the complexities of steelmaking. This paper presents the results obtained using …

Injection molding is one of the major processes applied for production of thermoplastic
products. Thermoplastic materials are used in manufacturing of dozens of products seen in …

Polytetrafluoroethylene (PTFE) is one of the materials majorly used in manufacturing of
products for industrial and domestic applications. Part manufacturing generally involves …

One way to reduce uncertainty in problem solving and decision making is by seeking the
advice of an expert in related field. On the other hand, when we use computers to reduce …

As many operating parameters are involved in five-axis machining and significantly affect
the machining results, use of either an analytical method or an experimental method can …

Economic globalization, together with heightened market competition and increasingly short
product life cycles are motivating companies to use advanced manufacturing technologies …

One way to reduce uncertainty in problem solving and decision making is by seeking the
advice of an expert in related field. On the other hand, when we use computers to reduce …

One of the most critical factors in producing plastic injection molds is the cost estimation of
machining services, which significantly affects the final mold price. These services' costs are …

Quality control is one of the tasks involved in the industry that needs reform in the
technological field by the use of machine learning. Machine learning will aid in the reduction …