Search for: machine-parameters
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    The effect of machining parameters on force signal and tool wear in stone cutting

    , Article AIP Conference Proceedings, 24 October 2010 through 27 October 2010, Paris ; Volume 1315 , 2010 , Pages 961-966 ; 0094243X (ISSN) ; 9780735408715 (ISBN) Yousefi, R ; Gorjizadeh, A ; Mikaeil, R ; Sharif University of Technology
    The application of sensor system is becoming more commonplace in improving productivity and reliability. Although measuring force signal have been widely used for monitoring of metal machining process that their application to stone cutting has not been well investigated. In this paper, the effect of machining parameter on force signal and tool wear was investigated. The result indicate that increasing of the depth of cut and spindle speed will increase the force and tool wear while increasing feed rate will increase force and decrease tool wear  

    Application of a fuzzy analytical hierarchy process to the prediction of vibration during rock sawing

    , Article Mining Science and Technology ; Volume 21, Issue 5 , 2011 , Pages 611-619 ; 16745264 (ISSN) Mikaeil, R ; Ataei, M ; Yousefi, R ; Sharif University of Technology
    A new predictive model for evaluating the vibration of a sawing machine was developed using a new rock classification system. The predictors are machine parameters and a rock sawability index. The new rock classification system includes four major parameters of the rock: uniaxial compressive strength, abrasivity index, mean Moh's hardness, and Young's modulus. The FAHP approach was used when determining the weights of these parameters by six decision makers. Two groups of carbonate rocks were sawn using a fully-instrumented laboratory sawing rig at different feed rates and depths of cut. During the sawing trials system vibration was monitored as a measure of saw performance. Then, a new... 

    An Expert Information System for Computer-Aided Process Planning with an Integrated Data Structure Based on the STEP Standard (ISO 10303)

    , M.Sc. Thesis Sharif University of Technology Nosratbakhsh, Mohamad (Author) ; Hooshmand, Mahmoud (Supervisor)
    Considering the significant role of process plans in computer-aided manufacturing, a lot of researches have been conducted to fulfill the gap between the different aspects of process planning systems. However, there is still a wide gap for process planning systems to completely fulfill the requirements. In this research an expert system for turning operation is proposed. The system is capable of suggesting appropriate machining parameters with the aid of an inference engine. The proposed system has an integrated data structure based on ISO 10303 (STEP) standard for both geometric design data and machining parameters. In this system, geometric design data is stored in a database with a data... 

    A new method for multi-objective optimal design of milling parameters by considering chatter vibrations

    , Article 2019 SAE Automotive Technical Papers, WONLYAUTO 2019, 1 January 2019 through 1 January 2019 ; Volume 2019-January, Issue January , 2019 ; 01487191 (ISSN) Jafarzadeh, E ; Khodaygan, S ; Sohani, A ; Sharif University of Technology
    SAE International  2019
    The desired milling process with high material removal rate (MRR) and low surface roughness of the product can be achieved only if machining chatter is absent. Incorporating chatter into the optimal selection of the machining parameters leads to a complex problem. Therefore, the approach of selecting conservative intervals for the machining parameters is usually employed instead. In this paper, a practical approach is proposed to specify the optimal machining parameters (depth of cut and spindle speed) in order to maximize MRR and minimize forced vibrations by considering machining chatter. Firstly, the worst-case scenario-based optimization problem in terms of the surface quality is solved... 

    The influence of SiC particles on tool wear in machining of Al/SiC metal matrix composites produced by powder extrusion

    , Article Advanced Materials Research, 18 September 2011 through 21 September 2011, Stuttgart ; Volume 325 , 2011 , Pages 393-399 ; 10226680 (ISSN) ; 9783037852316 (ISBN) Yousefi, R ; Kouchakzadeh, M. A ; Rahiminasab, J ; Kadivar, M. A ; Sharif University of Technology
    Metal matrix composites (MMCs) have received considerable attention due to their excellent engineering properties. However, poor machinability has been the main deterrent to their substitution for metal parts. The hardness and abrasive nature of reinforcement phase causes rapid tool wear during machining which results in high machining costs. In this study, the effect of SiC particles (5, 15 & 20 percent) on tool wear in turning process is experimentally investigated. Continuous dry turning of Al/SiC particulate metal matrix composite produced by powder metallurgy and utilizing titanium carbide inserts has been achieved as the test method. The influence of machining parameters, e.g. cutting... 

    Optimization of the machinability of powder extruded Al-SiC MM composite using ANN analysis and genetic algorithm

    , Article Proceedings of the World Powder Metallurgy Congress and Exhibition, World PM 2010, 10 October 2010 through 14 October 2010 ; Volume 2 , 2010 ; 9781899072194 (ISBN) Yousefi, R ; Shafiee Motahar, M ; Faghani, H ; Boroushaki, M ; Sharif University of Technology
    European Powder Metallurgy Association (EPMA)  2010
    Metal matrix composites (MMCs) have received considerable attention due to their excellent engineering properties, but their poor machinability has been the main deterrent to their substitution for metal parts. Optimization of machining parameters such as cutting speed, feed rate and depth of cut will improve the machinability of this material. This paper represents application of artificial neural network (ANN) model and genetic algorithm to study the machinability aspects of Al/SiC-15% produced by powder metallurgy process and to obtain optimum machining conditions. A multilayer feed forward ANN has been employed to study the effect of machining parameters on three aspects of machinablity,...