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Axial Depth

The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform

Khaled Abou-el-hossein – 1st expert on this subject based on the ideXlab platform

  • PREDICTION OF TORQUE IN MILLING BY RESPONSE SURFACE METHOD AND NEURAL NETWORK
    International Journal of Modelling and Simulation, 2015
    Co-Authors: Kumaran Kadirgama, Khaled Abou-el-hossein

    Abstract:

    The present paper discusses the development of the first-order model for predicting the cutting torque in the milling operation of ASSAB 618 stainless steel using coated carbide cutting tools. The first-order equation was developed using response surface method (RSM). The
    input cutting parameters were the cutting speed, feed rate, radial Depth and Axial Depth of cut. The study found that the predictive model was able to predict torque values close to those readings recorded experimentally with a 95% confident interval. The results
    obtained from the predictive model were also compared by using multilayer perceptron with back-propagation learning rule artificial neural network. The first-order equation revealed that the feed rate was the most dominant factor which was followed by Axial Depth, radial Depth and cutting speed. The cutting torque value
    predicted by using Neural Network was in good agreement with that obtained by RSM. This observation indicates the potential use of RSM in predicting cutting parameters thus eliminating the need for exhaustive cutting experiments to obtain the optimum cutting conditions in terms of torque.

  • Tool wear analysis in end milling of advanced ceramics with TiAlN and TiN coated carbide inserts
    Advanced Materials Research, 2012
    Co-Authors: Moola Mohan Reddy, D Sujan, Alexander Gorin, Khaled Abou-el-hossein, Abdul Maleque

    Abstract:

    Advanced ceramic materials are difficult to machine by conventional methods due to the brittle nature and high hardness. The appropriate selection of cutting tool and cutting conditions may help to improve machinability by endmilling. Performance of TiAlN and TiN coated carbide tool insert in end milling of machinable glass ceramic has been investigated. Several dry cutting tests were performed to select the optimum cutting parameters for the endmilling in order to obtain better tool life. In this work, a study was carried out on the influence of cutting speed, feed rate and Axial Depth of cut on tool wear.The technique of design of experiments (DOE) was used for the planning and analysis of the experiments. Tool wear prediction model was developed using Response surface methodology.The results indicate that tool wear increased with increasing the cutting speed and Axial Depth of cut. Effect of feed rate is not much significant on selected range of cutting condition

  • Influence of Cutting Parameters on Machinable Glass Ceramic Processed by End Milling
    Advanced Materials Research, 2011
    Co-Authors: Moola Mohan Reddy, Khaled Abou-el-hossein, Alexander Gorin

    Abstract:

    This experimental research work attempted to use End milling on Machinable Glass Ceramic (MGC) using micro grain solid carbide end mill under dry conditions. The predictive Surface Roughness model has been developed in terms of Spindle speed, Feed rate and Axial Depth of cut by Response Surface Methodology (RSM). The influence of each milling parameter analyzed and results showed that Axial Depth of cut was the most dominant variable. The adequacy of the model has been verified by ANOVA.

Kumaran Kadirgama – 2nd expert on this subject based on the ideXlab platform

  • PREDICTION OF TORQUE IN MILLING BY RESPONSE SURFACE METHOD AND NEURAL NETWORK
    International Journal of Modelling and Simulation, 2015
    Co-Authors: Kumaran Kadirgama, Khaled Abou-el-hossein

    Abstract:

    The present paper discusses the development of the first-order model for predicting the cutting torque in the milling operation of ASSAB 618 stainless steel using coated carbide cutting tools. The first-order equation was developed using response surface method (RSM). The
    input cutting parameters were the cutting speed, feed rate, radial Depth and Axial Depth of cut. The study found that the predictive model was able to predict torque values close to those readings recorded experimentally with a 95% confident interval. The results
    obtained from the predictive model were also compared by using multilayer perceptron with back-propagation learning rule artificial neural network. The first-order equation revealed that the feed rate was the most dominant factor which was followed by Axial Depth, radial Depth and cutting speed. The cutting torque value
    predicted by using Neural Network was in good agreement with that obtained by RSM. This observation indicates the potential use of RSM in predicting cutting parameters thus eliminating the need for exhaustive cutting experiments to obtain the optimum cutting conditions in terms of torque.

  • Response Surface Design Model to Predict Surface Roughness when Machining Hastelloy C-2000 using Uncoated Carbide Insert
    IOP Conference Series: Materials Science and Engineering, 2012
    Co-Authors: N. H. Razak, Mustafizur Rahman, Kumaran Kadirgama

    Abstract:

    This paper presents to develop of the response surface design model to predict the surface roughness for end-milling operation of Hastelloy C-2000 using uncoated carbide insert. Mathematical model is developed to study the effect of three input cutting parameters includes the feed rate, Axial Depth of cut and cutting speed. Design of experiments (DOE) was implemented with the aid of the statistical software package. Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical model. The result shows that the feed rate gave the more effect on the both prediction values of Ra compared to the cutting speed and Axial Depth of cut. SEM and EDX analyses were performed in different cutting conditions. It can be concluded that the feed rate and cutting force give the higher impact to influence the machining characteristics of surface roughness. Thus, the optimizing the cutting conditions are essential in order to improve the surface roughness in machining of Hastlelloy C-2000.

  • Prediction Modelling Of Power And Torque In End-Milling
    WIT Transactions on the Built Environment, 2010
    Co-Authors: Kumaran Kadirgama, M. M. Noor, Mohd Shahrir Mohd Sani, M. M. Rahman, Mohd Ruzaimi Mat Rejab, Rosli Abu Bakar, Khaled Abou-el-hossein

    Abstract:

    This paper presents the development of mathematical models for torque and power in milling 618 stainless steel using coated carbides cutting tool. Response surface method was use to predict the effect of power and torque in the end-milling. From the model, the relationship between the manufacturing process factors including the cutting speed, feed rate, Axial Depth and radial Depth with the responses such as torque and power can be developed. Beside the relationship, the effect of the factors can be investigated from the equation developed. It can seen that the torque increases with decreases of cutting speed while increase of the feed rate, Axial Depth and radial Depth. The acquired results also shown that the power increases with the increases of cutting speed, feed rate, Axial Depth and radial Depth .It can be found that the second order is more accurate based on the variance analysis and the predicted value is closely match with the experimental result. Third- and fourth- order model generated for both response to investigate the 3- and 4-way interaction between the factors. The third and fourth order model shows that 3- and 4-way interaction found less significant for the variables.

Zhan Qiang Liu – 3rd expert on this subject based on the ideXlab platform

  • Development of constrained layer damping toolholder to improve chatter stability in end milling
    International Journal of Mechanical Sciences, 2016
    Co-Authors: Yong Liu, Zhan Qiang Liu, Qinghua Song, Bing Wang

    Abstract:

    The chatter occurs during milling operation when the Axial Depth of cut is too large and/or the spindle speed approaches one of natural frequencies of the machining system. The critical Axial Depth of cut and stable spindle speed ranges for chatter occurrence are influenced by dynamic stiffness and natural frequency of the milling toolholder. In this work, a novel constrained layer damping toolholder was developed to increase chatter stability of end milling operation. Firstly, optimum design geometrical parameters were analytically solved with respect to optimum damping and constraining layer materials. Then the developed damping toolholder was manufactured. Lastly, modal tests and cutting experiments were carried out to verify the effectiveness of chatter suppression with the developed damping toolholder. The frequency response, cutting forces and machined surface quality were measured and compared. It is found that the dynamic stiffness and critical Axial Depth of cut for the developed damping toolholder are 600% higher than those of the conventional mono-solid toolholder with steel alloys. The natural frequency of the developed damping toolholder has increased by 19%, which can allow wider spindle speed ranges for stable end milling operations.

  • Modeling and simulation of three-dimensional stability lobes of milling thin-walled plate
    Proceedings of the IEEE International Conference on Automation and Logistics ICAL 2008, 2008
    Co-Authors: Ai Jun Tang, Zhan Qiang Liu

    Abstract:

    Chatter phenomenon often occurs during peripheral milling of thin-walled plate, which affect the quality of the finished part, the tool life and the spindle life. Therefore, it is necessary to avoid chatter with a suitable choice of cutting condition. Several stability models only emphasize the Axial Depth for chatter free machining. In this paper, it is shown that the radial Depth is the same important for stability. This paper studies the three-dimensional stability of milling the thin-walled plate, and develops a three-dimensional lobes diagram of the spindle speed, the Axial Depth and the radial Depth. Through the three-dimensional lobes, it is possible to choose the appropriate cutting parameters according to the dynamic behavior of the chatter system.