• فهرست مقالات material removal rate

      • دسترسی آزاد مقاله

        1 - Comparative Study of LS-SVM, RVM and ELM for Modelling of Electro-Discharge Coating Process
        Morteza Taheri Nader Mollayi Seyyed Amin Seyyedbarzani Abolfazl Foorginejad Vahide Babaiyan
        The Electro-discharge coating process is an efficient method for improvement of the surface quality of the parts used in molds. In this process, Material Transfer Rate (MTR), an average Layer Thickness (LT) are important factors, and tuning the input process parameters چکیده کامل
        The Electro-discharge coating process is an efficient method for improvement of the surface quality of the parts used in molds. In this process, Material Transfer Rate (MTR), an average Layer Thickness (LT) are important factors, and tuning the input process parameters to obtain the desired value of them is a crucial issue. Due to the wide range of the input parameters and nonlinearity of this system, the establishment of a mathematical model is a complicated mathematical problem. Although many efforts have been made to model this process, research is still ongoing to improve the modeling of this process. To this end, in the present study, three powerful machine learning algorithms, namely, Relevance Vector Machine (RVM), Extreme Learning Machine (ELM) and the Least Squares Support Vector Machine (LS-SVM) that have not been used to model this process, have been used. The values R2 above 0.99 for the training data and above 0.97 for the test data show the high accuracy and generalization capability degree related to the LS-SVM models, which can be applied for the input parameters tuning in order to attain a preferred value of the outputs. پرونده مقاله
      • دسترسی آزاد مقاله

        2 - Prediction of Material Removal Rate in Ductile–Mode Micro Ultrasonic Machining
        Hamid Zarepour
        This paper presents a model to predict Material Removal Rate (MRR) in Micro Ultrasonic Machining (micro-USM). The proposed model is developed based on the ductile-mode of material removal in micro-USM process. The correlation between ductile material removal rate and pr چکیده کامل
        This paper presents a model to predict Material Removal Rate (MRR) in Micro Ultrasonic Machining (micro-USM). The proposed model is developed based on the ductile-mode of material removal in micro-USM process. The correlation between ductile material removal rate and process parameters including frequency and amplitude of the ultrasonic vibration, particle size, and slurry concentration is presented. The proposed predictive model is verified by performing micromachining experiments using two types of workpiece materials including silicon and quartz at various process parameters levels. The results show that the MRR increases with a rise in vibration amplitude for both silicon and quartz materials. The experimental MRR values follow a trend similar to that of predicted MRR values. However, the predicted MRR values are higher than the measured MRR values for both silicon and quartz materials. The measured MRR values for ductile removal mode were found to have a considerable increase at vibration amplitudes of 2 mm and 2.4 mm for silicon and quartz, respectively, which is in favour of increasing the accuracy of the model prediction. پرونده مقاله
      • دسترسی آزاد مقاله

        3 - The Effect of Power and Maximum Cutting Speed on the Material Removal Rate and Cutting Volume Efficiency in CO2 Laser Cutting of Polycarbonate Sheets
        Majid Hashemzadeh Mehdi Mahammadi
        In the laser cutting process some well-known parameters, e.g. laser power and cutting speed, play major roles in the performance of the process. Each parameter or a combination of parameters can affect the material removal volume and cutting volume efficiency. The purpo چکیده کامل
        In the laser cutting process some well-known parameters, e.g. laser power and cutting speed, play major roles in the performance of the process. Each parameter or a combination of parameters can affect the material removal volume and cutting volume efficiency. The purpose of this research is to study the effect of power and maximum cutting speed on the material removal rate (MRR) and cutting volume efficiency (αVol) in CO2 laser cutting of polycarbonate (PC) sheets. A CO2 laser cutting machine with a maximum power of 130 W was used to cut PC sheets with thicknesses of 2 to 8 mm. The spot size of the focused beam was 0.1 mm on the upper surface of the sheet. The cutting experiments were carried out by varying the laser power from 20 to 100 W and the maximum cutting speed was found for each power. In the range of applied laser parameters for cutting of PC sheets, the results show that the MRR increases with power. The results also indicate that the MRR increases with maximum cutting speed and thickness. The cutting volume efficiency (αVol) increases with power until it reaches the apex of efficiency then, it slightly reduces with increasing power. پرونده مقاله
      • دسترسی آزاد مقاله

        4 - The Effect of Power, Maximum Cutting Speed and Specific Point Energy on the Material Removal Rate and Cutting Volume Efficiency in CO2 Laser Cutting of Polyamide Sheets
        Majid Hashemzadeh Reza Poorshaban
        Material removal rate (MRR) and cutting volume efficiency (αVol) in laser cutting of commercial polyamide (Nylon) sheets have been studied in this research. A CO2 laser cutting machine with the power of 100 W was used to cut polyamide (PA) sheets with thicknesses چکیده کامل
        Material removal rate (MRR) and cutting volume efficiency (αVol) in laser cutting of commercial polyamide (Nylon) sheets have been studied in this research. A CO2 laser cutting machine with the power of 100 W was used to cut polyamide (PA) sheets with thicknesses of 2 to 8 mm. The beam spot size on the upper surface of the sheet was 0.1 mm. The maximum cutting speeds for a variety of powers and thicknesses were specified under the same other laser cutting parameters. The specific point energy (Esp) was calculated for every combination of maximum cutting speed and power. Results show that for a given power, the maximum cutting speed exponentially decreases with increasing sheet thickness. The MRR increases logarithmically with power and for a given power, it rises as the sheet thickness decreases. The αVol increases with power until it reaches the apex of efficiency, then it slightly reduces with increasing power. Overall, the αVol decreases with increasing sheet thickness and Esp. پرونده مقاله
      • دسترسی آزاد مقاله

        5 - ﺑﺮرﺳﯽ ماشین‌کاری تخلیه‌الکتریکی ماده مرکب آلومینیوم تقویت شده با نانو ذرات اکسید تیتانیوم
        علی اکبر لطفی سعید دانشمند
        نانو ذرات مورد استفاده در مواد مرکب زمینه فلزی دارای انواع مختلف و خواص فیزیکی، شیمیایی و مکانیکی متفاوتی می باشند که باعث بهبود سختی، مقاومت مکانیکی، سایش و خواص دمایی می شوند و قابلیت های ماشینکاری مواد را تغییر می دهند. در این تحقیق به بررسی پارامترهای ماشینکاری تخلی چکیده کامل
        نانو ذرات مورد استفاده در مواد مرکب زمینه فلزی دارای انواع مختلف و خواص فیزیکی، شیمیایی و مکانیکی متفاوتی می باشند که باعث بهبود سختی، مقاومت مکانیکی، سایش و خواص دمایی می شوند و قابلیت های ماشینکاری مواد را تغییر می دهند. در این تحقیق به بررسی پارامترهای ماشینکاری تخلیه الکتریکی ماده مرکب الومینیوم تقویت شده با نانوذرات اکسید تیتانیوم پرداخته می شود. هدف از این تحقیق بررسی تاثیر شدت جریان، ولتاژ، زمان روشنی و خاموشی پالس و نانو ذرات اکسید تیتانیوم بر نرخ براده برداری، سایش ابزار و زبری سطح می باشد. از نفت سفید به عنوان دی الکتریک و الکترود مسی به عنوان ابزار و تجزیه و تحلیل واریانس برای اعتبار سنجی آزمایشگاهی استفاده می شود. نتایج نشان داد نانو ذرات سرامیکی اکسید تیتانیوم با توجه به ایتکه غیر هادی هستند تاثیر زیادی بر پارامترهای ماشینکاری ندارند و حین فرایند ماشینکاری تخلیه الکتریکی ذوب نمی شوند و شدت جریان و زمان روشنی بیشترین تاثیر بر نرخ براده برداری، سایش ابزار و زبری سطح دارند. با افزایش شدت جریان و زمان روشنی پالس سایش ابزار و زبری سطح زیاد شده و با افزایش زمان خاموشی پالس سایش ابزار کم می شود. به طور متوسط نرخ سایش الکترود ابزار در آلومینیوم 2024 تقویت شده با نانو ذرات اکسید تیتانیوم 5 درصد به میزان 46/3 درصد معادل 346/0گرم بیشتر از نمونه آلومینیوم 2024 از نظر وزنی است. پرونده مقاله