vahid Pourmostaghimi

University of Tabriz · Department of Mechanical Engineering

In metal cutting, it has been acknowledged that the tool–chip contact length significantly affects many aspects of machining such as chip formation, cutting forces, cutting temperatures, tool wear and tool life. Important decrease in the tool–chip contact length, decreases the thickness of the secondary shear zone, which leads to a decrease of the...

This paper proposes an intelligent model-based optimization methodology for optimizing the production cost and material removal rate subjected to surface quality constraint in turning operation of hardened AISI D2. Unlike traditional approaches, this paper deals with finding optimum cutting parameters considering the real condition of the cutting t...

Determination of optimum cutting parameters is one of the most essential tasks in process planning of metal parts. However, to achieve the optimal machining performance, the cutting parameters have to be regulated in real time. Therefore, utilizing an intelligent-based control system, which can adjust the machining parameters in accordance with opt...

Tool–chip contact length has a significant effect on the various characteristics of metal cutting, including cutting pressures, chip formation, tool wear, tool life, and cutting temperatures. It should be added that there is a direct relationship between the tool–chip contact length and secondary shear zone thickness in the metal cutting process. T...

In the present work, a new hybrid approach combining particle swarm optimization (PSO) algorithm with recurrent dynamic neural network (RDNN), which is described as PSO-RDNN algorithm, is proposed for multi-performance optimization of machining parameters in finish turning of hardened AISI D2. The suggested optimization problem is solved using the...

Metal matrix composites (MMCs) have gained great recognition in recent decades in a wide range of applications, including aerospace, automobiles, engine cylinders, and other sectors. MMCs possess excellent properties including being light in weight, high corrosion resistance, stiffness, and strength. However, they are categorized as difficult-to-cu...

Reverse engineering plays an important role in the manufacturing and automobile industries in designing complicated spare parts, reducing actual production time, and allowing for multiple redesign possibilities, including shape alterations, different materials, and changes to other significant parameters of the component. Using reverse engineering...

In this paper, the injection molding technique is selected, and different internal and external defects have been evaluated, including warpage, short shot, and shrinkage. Different geometric and injection machine inputs such as gate type, filling time, part cooling time, holding pressure time, and melt temperature have been chosen, respectively. Th...

In this paper, a real-time intelligent adaptive control with optimization methodology is proposed to produce parts with uniform surface roughness in finish turning of hardened AISI D2. Unlike traditional optimization approaches, the proposed methodology considers cutting tool real condition. Wavelet packet transform of cutting tool vibration signal...

Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have been developed for this purpose, and have rapidly diffused into other disciplines. As a resu...

Demanding high dimensional accuracy of finished work pieces and reducing the scrap and production cost, call for devising reliable tool condition monitoring system in machining processes. In this paper, a tool wear monitoring system for tool state evaluation during hard turning of AISI D2 is proposed. The method is based on the use of wavelet packe...

The state of a cutting tool is an important factor in any metal cutting process as additional costs in terms of scrapped components, machine tool breakage and unscheduled downtime result from worn tool usage. Therefore, tool wear prediction plays an important role in industry automation for higher productivity and acceptable product quality. Theref...

Welding is the joining of metals. What welding does is join metals or other materials at their molecular level with the technology we have at the moment. I say “at the moment” because welding technology is always changing, and with so many military forces relying on it to make their defense products, there are welding processes we are yet to hear a...

In manufacturing industry, it has been acknowledged that tool wear prediction has an important role in higher quality of products and acceptable efficiency. Being an emerging area of research in recent years, drilling tool wear is an important factor which directly affects quality parameters of machined hole such as hole centring, roundness, burr f...

In traditional machining systems, cutting parameters are usually selected prior to machining according to handbooks or user’s experience and variations during the machining process such as tool wear and dimensional changes are not considered in selecting cutting parameters. This practice will have a negative effect on the performance of machining....

Tool wear prediction plays an important role in industry automation for higher productivity and acceptable product quality. Therefore, in order to increase the productivity of turning process, various researches have been made recently for tool wear estimation and classification in turning process. Chip form is one of the most important factors com...