Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Monitoring of the cutting area with different type of sensors requires confirmation for
composing sensor fusion to obtain longer tool life and high-quality product. The complex …

Generally, dynamic model selection is implemented using algorithms that need a feedback
from the system's output; but, in many real-world applications this feedback is not available …

The study is focused on executing machining operations by using 18 tools of milling, drilling,
and turning thus 6 tools were used for each machining process. The VB of tool was …

Prediction of tool wear plays a key role in machining world due to its considerable impact on
total costs in terms of fabricated part quality and disposal of cutting insert before reaching the …

Surface integrity remains one of the major areas of concern in electric discharge machining
(EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is …

Surface roughness and cutting force are two key measures that describe machined surface
integrity and power requirement evaluation, respectively. This investigation presents the …

This paper shows a combination of computational fluid dynamics (CFD) and adaptive neuro-
fuzzy inference system (ANFIS) to propose a new viewpoint for multiphase flow modeling …

In the manufacturing industry, cutting tool failure is a serious event which causes damage to
the cutting tool and reduces the quality of the product, which increases the cost of …

Анотація Models for the design of assembly processes are considered. Various models for
the voice control of an industrial robot are considered: a logical model, semantic networks, a …