Relevant bibliographies by topics / Machining range

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Machining range'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Machining range"

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Brinksmeier, Ekkard, and Werner Preuss. "Micro-machining." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, no. 1973 (2012): 3973–92. http://dx.doi.org/10.1098/rsta.2011.0056.

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Manipulating bulk material at the atomic level is considered to be the domain of physics, chemistry and nanotechnology. However, precision engineering, especially micro-machining, has become a powerful tool for controlling the surface properties and sub-surface integrity of the optical, electronic and mechanical functional parts in a regime where continuum mechanics is left behind and the quantum nature of matter comes into play. The surprising subtlety of micro-machining results from the extraordinary precision of tools, machines and controls expanding into the nanometre range—a hundred times
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Wang, Xiao Zeng, and Jiu Hong Yang. "Hydraulic Cylinder Boring Quality Range Analysis Based on Orthogonal Test." Advanced Materials Research 945-949 (June 2014): 1289–92. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1289.

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The reliability of the hydraulic cylinder influences the safe working of the mechanical equipment. So, there are very high technical requirements and machining precision for the hydraulic cylinder. The manufacture deviation of the bore diameter will appear in the machining process. It will influence the working performance of the hydraulic cylinder. The paper determines the influence factors of the hydraulic cylinder machining quality and the different factor level, conducts the orthogonal tests of the boring quality of the hydraulic cylinder. According to the range analysis of all test data,
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Ye, Yong, and Liang Kang. "Numerical Simulation of Granite on Pre-Stressed Machining by Discrete Element Method (DEM)." Applied Mechanics and Materials 372 (August 2013): 646–49. http://dx.doi.org/10.4028/www.scientific.net/amm.372.646.

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The bonded particle model (BPM) of granite for pre-stressed machining is build by using the discrete element method (DEM). This model can not only descript the intergranular fracture behavior but also the transgranular fracture behavior of the granite. The processes of crack propagation under different pre-stressed machining conditions are studied by means of DEM simulation. Damages and cracks of surface/subsurface are also observed. The simulation results show that, while the magnitude of pre-stress is controlled in a certatin range, the number of radial cracks reduce as the increasing of pre
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., Ramandeep Singh. "MICRON RANGE COMPLEX STRUCTURE IN MICRO-ELECTROCHEMICAL MACHINING- A REVIEW." International Journal of Research in Engineering and Technology 05, no. 08 (2016): 207–17. http://dx.doi.org/10.15623/ijret.2016.0508038.

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Sreejith, P. S., and R. Krishnamurthy. "Studies on Turning of Carbon/Phenolic Ablative Composite Using PCBN Tools." Advanced Composites Letters 14, no. 5 (2005): 096369350501400. http://dx.doi.org/10.1177/096369350501400502.

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Carbon/phenolic composites are used in high performance applications because of their high temperature resistant properties. Studies on the machining aspects of these composites are very few. This paper presents an investigation on machining of this composite material using PCBN tools. The studies on specific cutting pressure revealed a critical speed of machining at which the specific cutting pressure is minimum. A critical range of temperature has been identified at which the specific cutting pressure is almost steady. Range of effective hardness for the tool has been identified for machinin
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Zhu, Hong Tao, Chuan Zhen Huang, Jun Wang, Yan Xia Feng, and Rong Guo Hou. "Theoretical Analysis on the Machining Mechanism in Ultrasonic Vibration Abrasive Waterjet." Key Engineering Materials 315-316 (July 2006): 127–30. http://dx.doi.org/10.4028/www.scientific.net/kem.315-316.127.

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As a unique machining way, Abrasive Waterjet Machining (AWJ) is one of the fastest developing new non-traditional machining methods and has a wide range of machinable materials. In this paper, the machining mechanism in AWJ is theoretically analyzed by impact dynamic mechanics method. There is stagnancy layer between waterjet and workpiece surface. It is found that the stagnancy layer and low energy abrasive particle are the main factors, which weaken machining capability and effective utilizing ratio of energy of AWJ machining. Ultrasonic Vibration Abrasive Waterjet Machining, a new machining
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Schultz, R. W., and M. E. Karabin. "Characterization of Machining Distortion by Strain Energy Density and Stress Range." Materials Science Forum 404-407 (August 2002): 61–68. http://dx.doi.org/10.4028/www.scientific.net/msf.404-407.61.

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Penchev, Pavel, Stefan Dimov, Debajyoti Bhaduri, Sein L. Soo, and Benoit Crickboom. "Generic software tool for counteracting the dynamics effects of optical beam delivery systems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 1 (2016): 48–64. http://dx.doi.org/10.1177/0954405414565379.

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Laser micro-machining is a promising manufacturing solution for fabricating complex micro-engineering products in wide range of materials that incorporate different multi-scale functional features. Optical beam deflector systems are key components in laser micro-machining systems, and they are one of the main factors determining the processing speed and hence machining throughput. However, their performance is speed dependent and the negative dynamics effects have a direct impact on the laser micro-machining accuracy, repeatability and reproducibility. This article presents a generic software
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Yu, De Ping, Yoke San Wong, and Geok Soon Hong. "Ductile-Regime Machining for Fast Tool Servo Diamond Turning of Micro-Structured Surfaces on Brittle Materials." Advanced Materials Research 500 (April 2012): 333–38. http://dx.doi.org/10.4028/www.scientific.net/amr.500.333.

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Micro-structured surfaces on brittle materials, e.g. ceramic and glass, are gaining increasing application in a range of areas. In this paper, fast tool servo (FTS) diamond turning has been applied to machine micro-structured surfaces on brittle materials and the machined surfaces has been observed to study its machining mechanism. A machining model is presented to enable ductile-regime machining of the brittle material. Based on the model, machining characteristics can be predicted for given cutting conditions. Experimental investigation on machining of a micro-structured surface verified tha
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Kuruc, Marcel, and Jozef Peterka. "Behavior of Rotary Ultrasonic Machining of Ceramic Materials at a Wide Range of Cutting Speeds." Machines 9, no. 8 (2021): 164. http://dx.doi.org/10.3390/machines9080164.

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The paper deals with the behavior of the rotary ultrasonic machining process at different cutting speeds of ceramic materials. This process is relatively new; therefore, there are gaps in information about its behavior at near-critical parameters. We adjusted cutting speeds 10 times lower and 10 times higher than the recommended one. The observed parameters were machine load, tool wear, and surface roughness. Alumina and zirconia ceramics were used as materials. The results will help with the optimization of the cutting parameters of the rotary ultrasonic machining process.
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Dissertations / Theses on the topic "Machining range"

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Mezghani, Aïda. "Optimisation du calcul des dispersions angulaires tridimensionnelles." Phd thesis, Ecole Centrale Paris, 2010. http://tel.archives-ouvertes.fr/tel-00576363.

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Ce travail de recherche traite un problème qui joue un rôle très important pour le succès desprogrammes de fabrication : le tolérancement tridimensionnel, essentiel pour définir la géométried'une pièce mécanique assurant sa meilleure fonctionnalité dans un assemblage avec uneprécision optimale.Une méthode des chaînes de cotes angulaires tridimensionnelles a été développée. Cette méthodepermet d'une part l'optimisation du calcul des dispersions angulaires tridimensionnelles etd'autre part de valider la gamme de fabrication par la vérification du respect des tolérancesimposées par le bureau d'ét
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JESUS, FILHO EDSON S. de. "Processamento, usinagem e desgaste de ligas sinterizadas para aplicações automotivas." reponame:Repositório Institucional do IPEN, 2006. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11399.

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Made available in DSpace on 2014-10-09T12:51:30Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:02:10Z (GMT). No. of bitstreams: 1 11328.pdf: 13067508 bytes, checksum: 886d399df69a8146f0353092e99aa16a (MD5)<br>Tese (Doutoramento)<br>IPEN/T<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
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Tseng, Ming-Yang, and 曾明揚. "Preliminary Evaluation System for Configuration and Traverse Range of Multi-Axis Milling Machine in Surface Machining." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/69067264536984641993.

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碩士<br>國立成功大學<br>機械工程學系碩博士班<br>95<br>Milling machine configuration influences the manufacturability of surface; therefore, choosing correct milling machine configuration is an important task. Traditional methods of choosing milling machine configuration for multi-axis surface machining depend on the experiences of manufacturing engineers. If the experience rule cannot solve, it will cause the production delay. In this case, new experience rules should be generated to solve the problems. In order to remedy the deficiency of the experience rules, this study developed a manufacturability evaluatio
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Lee, Shan-Tsung, and 李繕琮. "Design and Control of Long Travel Range Electromagnetically Actuated Position System with Application to Precise Machining." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/09342273980906582090.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>97<br>This thesis proposes a long travel range electromagnetically actuated position system with application to micro machining. Specially, probe with titanium coating is integrated with electromagnetically actuated and damped positioning stage to perform long range movement of which the latter replaces traditional piezoelectric actuators for the purpose of minimizing the complexity of the electrical system. For most precision motion measurement, laser interferometer is a kind of sensing system which is implemented to improve machining resolution incorporating a kin
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Book chapters on the topic "Machining range"

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Jain, Akshay, Bhagat Singh, and Yogesh Shrivastava. "Identification of Safe Machining Range for Laser Drilling of Basalt–Glass Hybrid Composite Using Artificial Neural Network." In Proceedings of International Conference in Mechanical and Energy Technology. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2647-3_72.

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Zhao, Zhengcai, Shengtao Lin, and Yucan Fu. "Development of a Novel System for Adaptive Machining of Near-Net-Shape Components." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210034.

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Near-net-shape components are popular among the aerospace industry for low material waste and high manufacturing efficiency. However, it is difficult to machine such components into final shapes because the machining allowance is often distributed unevenly and even insufficient. This paper proposed a novel system for adaptive machining near-net-shape components, which integrates units like on-machine measurement based on probe and ultrasonic-sensor, machining allowance constrained localization, tolerance range constrained shape reconstruction, and TCP (tool cutter position) template-based NC programming. Firstly, localization and free form deformation (FFD)-based shape construction are performed within the tolerance ranges of the component, and an even distribution of the machining allowance can be obtained. Next, the quick NC programming that directly manipulates the TCPs by using spatial deformation is introduced. Last, the data transmission between units is illustrated. A case study of the machining titanium turbine blade is performed, which validates the proposed system.
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Unune, Deepak Rajendra, and Amit Aherwar. "A Multiobjective Genetic-Algorithm-Based Optimization of Micro-Electrical Discharge Drilling." In Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch031.

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Inconel 718 superalloy finds wide range of applications in various industries due to its superior mechanical properties including high strength, high hardness, resistance to corrosion, etc. Though poor machinability especially in micro-domain by conventional machining processes makes it one of the “difficult-to-cut” material. The micro-electrical discharge machining (µ-EDM) is appropriate process for machining any conductive material, although selection of machining parameters for higher machining rate and accuracy is difficult task. The present study attempts to optimize parameters in micro-electrical discharge drilling (µ-EDD) of Inconel 718. The material removal rate, electrode wear ratio, overcut, and taper angle have been selected as performance measures while gap voltage, capacitance, electrode rotational speed, and feed rate have been selected as process parameters. The optimum setting of process parameters has been obtained using Genetic Algorithm based multi-objective optimization and verified experimentally.
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Unune, Deepak Rajendra, and Amit Aherwar. "A Multiobjective Genetic-Algorithm-Based Optimization of Micro-Electrical Discharge Drilling." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch035.

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Inconel 718 superalloy finds wide range of applications in various industries due to its superior mechanical properties including high strength, high hardness, resistance to corrosion, etc. Though poor machinability especially in micro-domain by conventional machining processes makes it one of the “difficult-to-cut” material. The micro-electrical discharge machining (µ-EDM) is appropriate process for machining any conductive material, although selection of machining parameters for higher machining rate and accuracy is difficult task. The present study attempts to optimize parameters in micro-electrical discharge drilling (µ-EDD) of Inconel 718. The material removal rate, electrode wear ratio, overcut, and taper angle have been selected as performance measures while gap voltage, capacitance, electrode rotational speed, and feed rate have been selected as process parameters. The optimum setting of process parameters has been obtained using Genetic Algorithm based multi-objective optimization and verified experimentally.
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Yu, YinQuan. "Optimization of Manufacturing Production and Process." In Smart Manufacturing - When Artificial Intelligence Meets the Internet of Things. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.92304.

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This chapter mainly introduces production processing optimization, especially for machining processing optimization on CNC. The sensor collects the original vibration data in time domain and converts them to the main feature vector using signal processing technologies, such as fast Fourier transform (FFT), short-time Fourier transform (STFT), and wavelet packet in the 5G AI edge computing. Subsequently, the main feature will be sent for cloud computing using genetic programming, Space Vector Machine (SVM), etc. to obtain optimization results. The optimization parameters in this work include machining spindle rotation velocity, cutting speed, and cutting depth, while, the result is the optimized main spindle rotation speed range of CNC, which met machining roughness requirements. Finally, the relationship between vibration velocity and machining quality is further studied to optimize the three operational parameters.
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Peças, Paulo, Pedro Dias Pereira, Inês Inês Ribeiro, and Elsa Henriques. "Non-Conventional Technologies Selection." In Non-Conventional Machining in Modern Manufacturing Systems. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6161-3.ch001.

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Micro-engineering is nowadays a key industrial area with applications is a wide range of products and sectors. The need for a multiplicity of products fostered the development of several processes and combinations of processes in the world of micro-engineering. There are different feasible alternatives to produce the same kind of product. The manufacturing cost is usually the decision factor to select the best alternative among them. But cost is affected by dozens of factors and if not properly modelled causes controversy in so complex decisions. In this chapter, the application of process-based cost modelling is proposed as the engine to identify the best performance spaces for each alternative, using its potential for sensitive analysis of uncertain and/or critical parameters. To illustrate the approach, a case study is developed analyzing four alternatives for the production of a light diffuser with micro-features imbibed, involving micro-injection molding, hot-embossing, micromachining, and powder-injection molding.
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Tyagi, Sakshi, Pawan Kumar Singh, and Arun Kumar Tiwari. "Synthesis and Characterization of Nanocomposites for the Application in Hybrid Solar Cell." In Machine Learning Applications in Non-Conventional Machining Processes. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3624-7.ch016.

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In today's era, a lot of interest is gained by solar cell formed by combination of organic and inorganic nano-particle semiconductors mainly because of its major features such as scalable solar power conversion and cost effectiveness, which makes the cell a desirable photovoltaic device. This piece of work is an attempt to make a solar cells by the combination of zinc oxide (ZnO) and graphite. ZnO is a good n-type material for the application in photovoltaic (PV) devices due to its better optical, electrical, structural, and environmentally friendly properties, and on the other hand, graphite, an organic semiconductor, enhances the rate of charge transfer in the device. These materials are so designed to help bring in more understanding in a wider range of the solar spectrum. This work focuses on developing solid-state polymer and hybrid solar cells.
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Schwarze, Martin, Carlo Rüger, Oliver Georgi, Hendrik Rentzsch, and Holger Pätzold. "Actuator and Process Development for Vibration Assisted Turning of Steel." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210013.

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Due to continuous tool engagement, turning processes tend to form long chips when machining ductile materials. These chip shapes have a negative influence on process performance and productivity. One approach to improve chip breakage is superimposition of vibrations in feed direction of the turning process, which leads to a modulation of uncut chip thickness. In a joint industrial project with Schaeffler Technologies AG &amp; Co. KG, Fraunhofer IWU developed an oscillating actuator for turning. The actuator converts a rotational movement of a drive motor into a translational vibration via an eccentric gear. The tool shank is mounted in solid joint assemblies. With this prototypical system, a cyclic movement of the tool in feed direction can be realized. The typical operating parameters of the actuator is within the range of 1...100 Hz with adjustable vibration amplitudes up to 0.6 mm peak-to-peak. A significant improvement in chip breaking during the machining of steel 1.0503 was shown in cutting tests.
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Mondal, Sibabrata, and Dipankar Bose. "Evaluation of Surface Roughness in Wire Electrical Discharge Turning Process." In Machine Learning Applications in Non-Conventional Machining Processes. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3624-7.ch008.

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This investigation presents an experimental investigation in developing small cylindrical pins in electrolytic tough pitch copper (ETP Cu) material using wire electrical discharge turning (WEDT) to evaluate surface roughness of the cylindrical turning faces. The material ETP Cu is soft in nature and has growing range of application in the field of aerospace and electronics industries for advanced applications. In this process, a customized rotary spindle has been developed and added to five-axis CNC wire electrical discharge machine (WEDM) and straight turning of the cylindrical pin has been done up to a length of 15mm with 0.5mm diameter. Under this investigation, 31 experiments along with two confirmation tests have been carried out to study the influence of four design factors—pulse on time, pulse off time, spindle speed, and servo voltage—on the machining performance of surface roughness by means the technique of design of experiment (DOE).
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Das, Raja, and M. K. Pradhan. "Artificial Neural Network Modeling for Electrical Discharge Machining Parameters." In Advances in Secure Computing, Internet Services, and Applications. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4940-8.ch014.

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The objective of the chapter is to present the application of Artificial Neural Network (ANN) modelling of the Electrical Discharge Machining (EDM) process. It establishes the best ANN model by comparing the prediction from different models under the effect of process parameters. In EDM, the motivation is frequently to get better Material Removal Rate (MRR) with fulfilling better surface quality of machined components. The vital requirements are as small a radial overcut with minimal tool wear rate. The quality of a machined surface is very important to fulfilling the growing demands of higher component performance, durability, and reliability. To improve the reliability of the machine component, it is necessary to have in depth knowledge of the effect of parameters on the aforesaid responses of the components. An extensive chain of experiments has been conducted over a wide range of input parameters, using the full factorial design. More than 150 experiments have been conducted on AISI D2 work piece materials using copper electrodes to get the data for training and testing. The additional experiments were obtained to validate the model predictions. The performance of three neural network models is discussed in the evaluation of the generalization ability of the trained neural network. It was observed that the artificial neural network models could predict the process performance with reasonable accuracy, under varying machining conditions.
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Conference papers on the topic "Machining range"

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Li, Chang-zhen, Nan-nan Li, and Li-na Guo. "Impact on CCR's machining error on laser range finder of satellites." In 2012 International Conference on Optoelectronics and Microelectronics (ICOM). IEEE, 2012. http://dx.doi.org/10.1109/icoom.2012.6316250.

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Kong, Xiangcheng, Li Zhang, Jingyan Dong, and Paul H. Cohen. "Machining Force Modeling of Vibration-Assisted Nano-Machining Process." In ASME 2015 International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/msec2015-9423.

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Nanofabrication technology is very important for many emerging engineering and scientific applications. Among different nanofabrication technologies, vibration-assisted nano-machining provides a low cost easy-to-setup approach to produce structures with nano-scale resolution. It is critical to understand the mechanism for the nano-machining process and predict the cutting force, so as to provide guidelines to achieve higher productivity and reduce tip wear. In this article, a machining force model for tip-based nano-machining process is developed and validated. We analyze the instantaneous eng
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Risko, Donald G. "Electrolytic Micro Machining Technology." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81451.

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The electrolytic machining process that has been used for many years to machine airfoil surfaces in turbine engine applications and critical features in diesel injection nozzles is emerging as a machining process for features in the 1 to 100 micron range. Like Electrochemical Machining (ECM), Electrolytic Micro Machining is a very fast area based machining process. In most cases, all features can be machined simultaneously in two to three seconds or less. The technology draws upon the basics of ECM which is an application of Faradays Law to metal removal. Tooling that consists of precise catho
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Avanessian, A., Y. Rong, and G. Tan. "An Improved Model of Machining Chip Breaking Limits for Smart Machining Process Design." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79378.

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Prediction of chip-breaking in machining is an important task for automated manufacturing. According to experiments and previous study, there are chip-breaking limits in machining chip-breaking chart, which determine the chip-breaking range. When inserts with 3-D grooves are used in finish machining, there is an additional chip-breaking region beyond the chip breaking limits determined by the prediction models in previous study. In this paper, the chip-breaking chart is studied for protruded insert grooves. Analytical models are established in order to determine minimum and maximum depths of c
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Kramer, Reinhard, Harald Schwede, Volker Brandl, Klaus Hänsel, and Mike Klos. "Laser micro machining - tool check: Camera-based focal diagnostics in the 10 microns range." In ICALEO® 2004: 23rd International Congress on Laser Materials Processing and Laser Microfabrication. Laser Institute of America, 2004. http://dx.doi.org/10.2351/1.5060330.

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Li, Tonghui, and Chris Yuan. "Numerical Modeling of Specific Energy Consumption in Machining Process." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1247.

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Prediction and estimation of energy consumption of machining process are important for the optimization of the machining process and the environmental impact of manufacturing. Two energy consumption models are proposed in this paper. A novel numerical model is presented to roughly estimate the specific energy consumption (SEC) of a machining process based on the nameplate spindle power of the machine and the material removal rate (MRR). This model is validated and analyzed by experimental data from a variety of sources. The application range of the proposed model has been investigated. Another
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Chodźko, Marcin, and Krzysztof Marchelek. "Modal Modeling of Micro-Machining Center." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-83005.

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Modeling of dynamic properties of machine tools has a significant influence on improvement of its construction. This process is extremely important when a new construction of machine tool is under development. Experimental modal analysis provides information about frequency bandwidths with significant amplitudes of resonances, damping values and mode shapes. This information can be used in FEM model updating, stability prediction or finding weak elements of the machine tool structure as well. In the paper the modal model of prototype of the micro machining center is presented. Polymax algorith
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Polishetty, Ashwin, and Guy Littlefair. "Recent Advances in Machining of Austempered Ductile Iron to Avoid Machining Induced Microstructural Phase Transformation Reaction." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-3903.

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Austempered Ductile Iron (ADI) is a type of nodular, ductile cast iron subjected to heat treatments — austenitising and austempering. Whilst machining is conducted prior to heat treatment and offers no significant difficulty, machining post heat treatment is demanding and often avoided. Phase transformation of retained austenite to martensite leading to poor machinability characteristics is a common problem experienced during machining. Study of phase transformations is an investigative study on the factors — plastic strain (εp) and thermal energy (Q) which effect phase transformations during
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Rashid, Asif, Muhammad P. Jahan, Asma Perveen, and Jianfeng Ma. "Machining of Through Holes in Non-Conductive Aluminum Nitride Ceramic Using Electrical Discharge Machining Process." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8359.

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Abstract Ceramic materials are known for their high hardness and strength-to-weight ratio, resistance to wear, and chemical inertness. These materials can be deployed at elevated temperature even to the limit where super alloys cannot be used. The distinctive properties of ceramics make them difficult to machine by conventional processes because of their brittleness. Electrical discharge machining (EDM) is a non-contact machining process that can machine any workpiece irrespective of its hardness, as long as the material is electrically conductive. Therefore, the challenge that comes with the
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Fang, Ning. "Sensitivity Analysis of the Material Flow Stress in Machining." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41655.

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Among the effects of strain hardening, strain-rate hardening, and temperature softening, it has long been argued about which effect is predominant in governing the material flow stress in machining. This paper compares four material constitutive models commonly employed, including Johnson-Cook’s model, Oxley’s model, Zerilli-Armstrong’s model, and Maekawa et al.’s model. A new quantitative sensitivity analysis of the material flow stress is performed based on Johnson-Cook’s model covering a wide range of engineering materials, including plain carbon steels with different carbon contents, alloy
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Reports on the topic "Machining range"

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Fletcher, Daniel. Improved Buttress Thread Machining for the Excalibur and Extended Range Guided Munitions. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada482718.

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