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Application of soft computing techniques in machining performance prediction and optimization: a literature review
Machining is one of the most important and widely used manufacturing processes. Due to
complexity and uncertainty of the machining processes, of late, soft computing techniques …
complexity and uncertainty of the machining processes, of late, soft computing techniques …
Fuzzy logic for modeling machining process: a review
The application of artificial intelligence (AI) techniques in modeling of machining process
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …
Vibration-based fault diagnosis of pump using fuzzy technique
J Wang, H Hu - Measurement, 2006 - Elsevier
This paper focuses on a problem of vibration-based condition monitoring and fault diagnosis
of pumps used in oil field to recover petroleum. The vibration-based machine condition …
of pumps used in oil field to recover petroleum. The vibration-based machine condition …
Modeling and optimization of turning duplex stainless steels
The attractive combination of high mechanical strength, good corrosion resistance and
relatively low cost has contributed to making duplex stainless steels (DSSs) one of the …
relatively low cost has contributed to making duplex stainless steels (DSSs) one of the …
Hybrid learning for tool wear monitoring
In automated manufacturing systems such as flexible manufacturing systems (FMSs), one of
the most important issues is the detection of tool wear during the cutting process. This paper …
the most important issues is the detection of tool wear during the cutting process. This paper …
Using artificial intelligence to predict surface roughness in deep drilling of steel components
A predictive model is presented to optimize deep drilling operations under high speed
conditions for the manufacture of steel components such as moulds and dies. The input data …
conditions for the manufacture of steel components such as moulds and dies. The input data …
System identification of the high performance drilling process for network-based control
A simple, fast, network-based experimental procedure for identifying the dynamics of the
high-performance drilling (HPD) process is proposed and successfully applied. This …
high-performance drilling (HPD) process is proposed and successfully applied. This …
Manufacturing process optimization for real-time quality control in multi-regime conditions: Tire tread production use case
The high-stake nature of most manufacturing processes empowers the importance of real-
time quality control and assurance. In the event of a failure in production, a decision-making …
time quality control and assurance. In the event of a failure in production, a decision-making …
Modeling and optimization of machining processes
Machining operations have been the core of the manufacturing industry since the industrial
revolution. Machining is a process of material removal using cutting tools and machine tools …
revolution. Machining is a process of material removal using cutting tools and machine tools …
Surface hardness prediction of CrN thin film coating on AL7075-T6 alloy using fuzzy logic system
In recent years, CrN coating has been identified as one of the most promising protective
layers on surfaces of tools and dies due to its excellent mechanical properties, corrosion …
layers on surfaces of tools and dies due to its excellent mechanical properties, corrosion …