Relevant bibliographies by topics / Testing of a broaching machine

Contents

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

Academic literature on the topic 'Testing of a broaching machine'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Testing of a broaching machine"

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Xu, Ming, Jing Ni, and Guo Jin Chen. "Research on the Broaching-Load Testing System of Hydraulic Broaching Machine." Advanced Materials Research 328-330 (September 2011): 1709–12. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.1709.

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In view of the disadvantages on working vibration or even cannot work of broaching machine derived by broaching-load’s uncertainty, a testing system of broaching-load is designed. The testing system uses an industrial computer, a high-precision data-acquisition-card, two pressure-sensors, a displacement-sensor and Borland C++ to test the broaching-load on the base of broaching machine’s electronic control system. The factual application in hydraulic broaching machine shows that the proposed system has a good performance on testing-accuracy. The proposed system gives an effective solution to broaching-load testing.
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Chen, Guo Jin, Jing Ni, Ting Ting Liu, Ming Xu, and Hui Peng Chen. "Research and Application for Two-Cylinder Electro-Hydraulic Servo Synchronous Control Technology." Applied Mechanics and Materials 344 (July 2013): 139–44. http://dx.doi.org/10.4028/www.scientific.net/amm.344.139.

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The two-cylinder drive is one of many commonly used mechanical drive forms. Its synchronous control accuracy determines the movement accuracy of the working machinery. The paper established the mathematical model for the two-cylinder electro-hydraulic servo synchronous drive system, and revealed that the two-cylinder horizontal electro-hydraulic synchronous drive system has the cascade form of the linear system with the nonlinear system. Taking the band sawing machine and the broaching machine as the application object, the paper analyzed their compositions and synchronization CNC systems. Aiming at the dual-cylinder drive form for the broaching machine, the IPSO-PID synchronous controller of the two-cylinder system was designed. Through the digital simulation and actual testing, the results show that the IPSO-PID synchronous controller is faster in the tracking response speed and better in the synchronization performance than the conventional PID synchronization controller.
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Lin, Lv Gao, Shen Shun Ying, Shu Qiong Chen, and Xiao Tian Lv. "Operational Modal Analysis of Broaching Machine." Applied Mechanics and Materials 159 (March 2012): 170–75. http://dx.doi.org/10.4028/www.scientific.net/amm.159.170.

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Modal parameters for LG51SH broaching machine from operational responses are studied to examine the dynamic properties of mechanical structure. The operational modal is analyzed using PolyMAX method with responsive data of key point in broaching machine, which is excited in practical broaching operation and tested by LMS SCADAIII-105 system. The identified steady state modal, representative modal shape, modal damping ratio and natural frequency in broaching are presented. The test and analysis result shows that there are natural frequency of 38Hz and 192Hz, which are close to multiple of the fundamental frequency of cutting force in broaching, 6Hz, therefore, reasonable cutting velocity should be adopted to void producing fundamental frequency of cutting force in broaching.
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Ying, Shenshun, Shiming Ji, Yangyu Wang, Zhixin Li, Lvgao Lin, and Sichang Xiong. "Experimental and numerical investigation on dynamic parameters of broaching machine." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 10 (2015): 1907–20. http://dx.doi.org/10.1177/0954406215623814.

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Dynamic properties of the whole broaching machine structure greatly contribute to the broaching quality and efficiency. However, it is hard to measure the dynamic parameters because they will change during operation compared with the static results from classic experimental modal analysis. This study is to examine the dynamic parameters of broaching machine LG7120KT using both the numerical finite element (FE) method and the experimental operational modal analysis (OMA). Firstly, FE analysis model of the broaching machine with the real dimension is constructed and calculated. Second, experimental results are obtained from OMA in practical broaching process, which can be used to identify steady-state modes. Modal parameters including mode shapes, damping ratio, and natural frequencies are examined, using both LMS SCADAS III-305 system and PolyMAX method in OMA. The numerical and experimental results show high agreement in their calculated natural frequencies. From the modal analysis results, it is also found the vibration normal to cutting direction can be greatly reduced by adjusting broaching speed. From the topology optimization result based on the already correlated FE model, we redesigned a lightweight machine structure with a better dynamic performance, due to its lower displacement of broaching machine at force point and its higher first-order natural frequency. The experimental and numerical results in this paper help to design the structural parameters of broaching machine and propose a better broaching process.
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Di, Shuan Hu, and Jin Yuan Tang. "Effects of a Keyway Broaching Machine Craft Parameters and Structural Parameters on Keyway Broaching Precision." Advanced Materials Research 871 (December 2013): 358–62. http://dx.doi.org/10.4028/www.scientific.net/amr.871.358.

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The 3D geometric model was established based on working principle of a new keyway broaching machine. The horizontal deformation of drawing knife blade in working stroke is analyzed by the finite element software ABAQUS. The research which effect law of the feed, structural sizes of cutter rod and sizes of cutter guiding rod on position deformation of broaching blade in working stroke given quantitative relationship between parameters of processing craft and structure and cutting precision. The selection method and way of processing parameters and structural parameters to improve broaching precision of keyway broaching machine are obtained. The research work provides relevant technological basis for the design of high precision keyway broaching machine.
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Park, Seok Hong, Duc Viet Dang, and Trung Thanh Nguyen. "Development of a Servo-Based Broaching Machine Using Virtual Prototyping Technology." Strojniški vestnik - Journal of Mechanical Engineering 63, no. 7-8 (2017): 466. http://dx.doi.org/10.5545/sv-jme.2017.4384.

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Predicting machine tool performance at the design stage is one way to resolve the time issue and achieve cost savings. The objective of this paper was to develop a new non-hydraulic broaching machine using a servo motor, ball screw, and roll element linear guide using virtual prototyping technology. First, we developed a multi-body simulation model (MBS) of a servo-based broaching machine to investigate its dynamic behaviour. Then, an adaptive sliding mode proportional-integral-derivative (PID)-based controller (ASMPID) was proposed to conduct the broaching process. We then performed a co-simulation between the mechanical structure and virtual controller to investigate the ram body trajectory and identify the optimal control parameters. Finally, we manufactured a prototype machine to evaluate the simulation results and determine the benefits of the new system. Our results indicated that the proposed model, which includes a mechanical structure and intelligent controller, effectively improved broaching machine design. Therefore, this work is expected to improve the prototyping efficiency of new broaching machines.
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Chen, Guo Jin, Jing Ni, Ting Ting Liu, Ming Xu, and Lu Gao Lin. "Study on Structural Optimization and Servo Control for All-Electric CNC Broaching Machine." Applied Mechanics and Materials 380-384 (August 2013): 562–66. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.562.

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With respect to the conventional hydraulic broaching machine, the all-electric CNC broaching machine has many advantages. This paper combines the digital servo control system, the double ball screw and the linear motion rail to realize broaching for the two workpieces internal threads of the different rotations and lead distances. The DSP-based full-AC drive control system was developed. The observer is used to observe the speed instead of measuring the speed using the velocity sensor such as the encoder. It solves the drive control problems for the speed-sensorless servo-motors. That is in line with the trend of the CNC broaching machine technology toward the electronization, high-speed and preciseness.
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Adiyanto, Okka, Park In Soo, Angga Senoaji Hermanto, and Choi Won Sik. "Analysis of the vertical moving table type broaching machine." Journal of Mechanical Engineering and Sciences 14, no. 3 (2020): 7152–69. http://dx.doi.org/10.15282/jmes.14.3.2020.16.0561.

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Broaching is a type of machining that uses a toothed tool similar to a saw. There are several types of broaching machines includes linear broaching machines and hydraulic machines. Early linear broaching machines were driven mechanically by screws. However, hydraulic machines are faster, smoother in operation, and allow for high-speed steel broaches to be used. The purpose of this study is to an analysis of the vertical moving table type in the broaching machine. In this study, finite element analysis was carried out to examine the structural characteristics of broaching machine design. A model was created in CATIA software and analyzed with ANSYS to find the structural characteristics. The friction characteristic of PBT-40 material was also investigated. This material is recommended for guide rail surface lamination to reduce the friction coefficient and ram body wear. The simulation results provide information for the next step of development before physical prototype will be made. The maximum deformation of the workpiece table was 0.0517 mm on the positive Z-axis, and the maximum deformation on the pulling head device was 0.0598 mm on the negative Z-axis. The friction coefficients were between 0.013 and 0.047 in the sliding speed range of 0.06 to 0.34 m/s. The PBT-40 material has a wear coefficient of 1.604x10-13 m3/Nm according to the test. From the ANSYS friction simulation, it can be concluded that the PBT-40 material would not easily wear out during operation of the machine. It can be seen that small frictional stress occurred on the surface ranging from 8.273x10-5 to 8.381x10-5 MPa.
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Meng, Zhen, Jing Ni, Yu Shi, Chuan-Yu Wu, and Xiang-Qi Liu. "Experimental Study on the Performance of Hydraulic Vibration Assisted Broaching (HVAB) Based on Piezoelectric Sensors." Sensors 18, no. 8 (2018): 2417. http://dx.doi.org/10.3390/s18082417.

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In order to improve the keyway broaching process and verify the feasibility of vibration-assisted broaching process, an experimental study on a novel hydraulic vibration assisted broaching (HVAB) system with double-valve electro-hydraulic exciter (DVEHE) is proposed in this paper. The performances of HVAB at different excitation frequencies were compared from three aspects: (a) the cutting force under the different vibration frequencies, (b) the surface roughness of the workpiece, and (c) the flank face wear of the tool. For precision on-line measurement of larger broaching forces, four piezoelectric sensors were fixed on the broaching machine. The experimental results show that HVAB can effectively improve the performance of the broaching process, approximately reduce the broaching force by as much as 9.7% compared to conventional broaching (CB) and improve the surface quality of workpiece. Some explanations are offered to support the observations.
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Wang, Bao Tao, Fu Gang Yan, Yuan Sheng Zhai, Cheng Yang Xu, and Jia Xin Guo. "Determination of Unit Cutting Force of GH4698 Broaching." Materials Science Forum 800-801 (July 2014): 129–33. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.129.

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Fir tree groove broaching is prone to deformation, which affects the machining precision of rear wheel groove. The numerical broaching force is calculated to improve deformation of the processed round tank .This paper uses the planer to make cutting tests that are carried out in shaping machine to simulate the wheel broaching process and measures the cutting force in the experiment. After analyzing the unit numerical cutting force of GH4698 broaching is finally obtained. It provides a simple method to calculate the cutting force of wheel groove machining.
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Dissertations / Theses on the topic "Testing of a broaching machine"

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Dvořák, David. "Testování a analýza protahovacího stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417102.

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This master's thesis deals with the broaching technology. Theoretical part includes the essay about the technology, tools and machines used for broaching. Theoretical part also describes the analysis of the broaching machine testing. Practical part is focused on the collecting, comparing and analysis of the data. These data have been collected during and after the broaching process. The supplier of the new analysed broaching machine is Stenhoj Hydraulik and the older machine has been made by Arpini. The measurements show that the increased number of broached pieces influence the cutting force and the quality of the surface due to wear of the tool which has been also monitored. The measuring dimension through the ball is almost constant. In the conclusion we evaluated the economical aspect of the results.
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Tian, Wenmeng. "Monitoring and Prognostics for Broaching Processes by Integrating Process Knowledge." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78680.

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With the advancement of sensor technology and data processing capacities, various types of high volume data are available for process monitoring and prognostics in manufacturing systems. In a broaching process, a multi-toothed broaching tool removes material from the workpiece by sequential engagement and disengagement of multiple cutting edges. The quality of the final part, including the geometric integrity and surface finish, is highly dependent upon the broaching tool condition. Though there has been a considerable amount of research on tool condition monitoring and prognostics for various machining processes, the broaching process is unique in the following aspects: 1) a broaching process involves multiple cutting edges, which jointly contribute to the final part quality; 2) the resharpening and any other process adjustments to the tool can only be performed with the whole broaching tool or at least a whole segment of the tool replaced. The overarching goal of this research is to explore how engineering knowledge can be used to improve process monitoring and prognostics for a complex manufacturing process like broaching. This dissertation addresses the needs for developing new monitoring and prognostics approaches based on various types of data. Specifically, the research effort focuses on 1) the use of in-situ force profile data for real-time process monitoring and fault diagnosis, 2) degradation characterization for broaching processes on an individual component level based on image processing; and 3) system-level degradation modeling and remaining useful life prediction for broaching processes based on multiple images.<br>Ph. D.
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Liu, Mu-Hsin. "Multiaxial Fatigue Testing Machine." Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1266241731.

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Zhang, Zheyu. "Machine Learning for Metamorphic Testing." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235303.

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Test oracle is a mechanism used to validate all the functionalities ofsoftware under test. However, the lack of test oracle makes the processof software testing difficult. Metamorphic testing is a state of artapproach for automated software testing without test oracles basedon metamorphic relations. Metamorphic relations are a set of propertiesbetween inputs and outputs that a software could have. However,it is usually difficult to identify metamorphic relations for unknownprograms. This thesis aims for automatic generation of metamorphicrelations by utilizing machine learning algorithms with the methodrandom walk kernel using input from control flow graphs. By applyingKanawala et al. [1] previous work in our targeted system environment,we encountered a series of difficulties, which we also describein this thesis. It is important to introduce an alternative solution forour test suite that is working. The performance of our model is evaluatedby different measures including area under the receiver operatingcharacteristic curve and mean squared error. The results show promisingapplications of automatically predicting metamorphic relations forunknown programs. The study was conducted on software system inthe telecommunicaiton domain.<br>Testorakel är en mekanik som används till att avgöra om ett program är korrekt för all funktionalitet i program som testas. Metamorfisk test- ning är en toppmodärn metod för automatiserad programtesting vid saknad testorakel, kan använda metamofiska relationer istället. Tyvärr är det under normala förhållanden svårt att identifiera metamorfiska relationer för okända program. Denna avhandling ämnar därför att automatiskt generera metamorfiska relationer genom att använda ma- skininlärningalgoritmer med kärnmetoden slumpmässig gång och in- data från kontrollflödesgrafer. Metamorfiska relationer är en mängd egenskaper mellan indata och utdata som finns i alla program. Genom att replikera och applicera en tidigare studie av Kanewala et al. [1] i vår egen systemmålmiljö, har vi mött en del svårigheter som vi också be- skriver i denna avhandling. Det är viktigt att introducera alternativa lösningar för vår test svit som fungerar. Prestandan i vår modell ut- värderas av olika mätningar inkluderad AUC och MSE. Våra resultat verkar lovande att använda på automatisk predicerade metamorfiska relationer för okända program. Studien genomfördes på programsystem inom telekommunikationsområdet.
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Berry, Eric Dean. "Randomization testing of machine induced rules." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304271.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1995.<br>"September 1995." Thesis advisor(s): B. Ramesh, William J. Haga. Includes bibliographical references. Also available online.
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Weyrauch, Thomas. "The Paperboard Testing-Machine : Development Process." Thesis, KTH, Hållfasthetslära (Inst.), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92639.

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The design of a paperboard testing machine, developed in order to analyse the mechanical behaviour of paperboard during the combined of out-of-plane shear and compressive loading as in the deepdrawing process, is presented. The methodology to design a paperboard testing machine is discussed and the most appropriate concepts are compared and evaluated. The design process is presented in detail, and some pilot tests are performed to give an overview about the functionality of the manufactured prototype.
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Cao, Bingfei. "Augmenting the software testing workflow with machine learning." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119752.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 67-68).<br>This work presents the ML Software Tester, a system for augmenting software testing processes with machine learning. It allows users to plug in a Git repository of the choice, specify a few features and methods specific to that project, and create a full machine learning pipeline. This pipeline will generate software test result predictions that the user can easily integrate with their existing testing processes. To do so, a novel test result collection system was built to collect the necessary data on which the prediction models could be trained. Test data was collected for Flask, a well-known Python open-source project. This data was then fed through SVDFeature, a matrix prediction model, to generate new test result predictions. Several methods for the test result prediction procedure were evaluated to demonstrate various methods of using the system.<br>by Bingfei Cao.<br>M. Eng.
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Lee, Dai Gil. "Manufacturing and testing of composite machine tool structures." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15265.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1985.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.<br>Vita.<br>Includes bibliographical references.<br>by Dai Gil Lee.<br>Ph.D.
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Bawaskar, Neerja Pramod. "Analog Implicit Functional Testing using Supervised Machine Learning." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/2099.

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Testing analog circuits is more difficult than digital circuits. The reasons for this difficulty include continuous time and amplitude signals, lack of well-accepted testing techniques and time and cost required for its realization. The traditional method for testing analog circuits involves measuring all the performance parameters and comparing the measured parameters with the limits of the data-sheet specifications. Because of the large number of data-sheet specifications, the test generation and application requires long test times and expensive test equipment. This thesis proposes an implicit functional testing technique for analog circuits that can be easily implemented in BIST circuitry. The proposed technique does not require measuring data-sheet performance parameters. To simplify the testing only time domain digital input is required. For each circuit under test (CUT) a cross-covariance signature is computed from the test input and CUT's output. The proposed method requires a training sample of the CUT to be binned to the data-sheet specifications. The binned CUT sample cross-covariance signatures are mapped with a supervised machine learning classifier. For each bin, the classifiers select unique sub-sets of the cross-covariance signature. The trained classifier is then used to bin newly manufactured copies of the CUT. The proposed technique is evaluated on synthetic data generated from the Monte Carlo simulation of the nominal circuit. Results show the machine learning classifier must be chosen to match the imbalanced bin populations common in analog circuit testing. For sample sizes of 700+ and training for individual bins, classifier test escape rates ranged from 1000 DPM to 10,000 DPM.
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JOSE, MATHEW STEPHEN, and Vijay Francis. "Development, Validation and Implementation of Universal Testing Machine." Thesis, Tekniska Högskolan, Jönköping University, JTH, Industriell produktutveckling, produktion och design, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-50725.

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The thesis paper will be covering the grounds of what, how and why a Universal Testing Machine is used, an alternative to the generic Universal Testing Machinedesigns and how it is built. The primary objective of this thesis work is to designand build a Universal Testing Machine which can handle a load up to 10kN forpolymer materials which is cost effective and modular. The operating system and electronic components are open-source leaving room for further development and compression test. The mechanical properties of material can be measured through tensile test. It gives the the characteristic of tensile strength, yield strength, modulus of elasticity, ductility, resilience, and toughness. The thesis paper covers the use of real timeimage processing for calculating and plotting of a stress strain curve. It also covers the implementation of open source code, using a MATLAB user interface to control, analyse and compile the results of tests done using the new machine. These results have been compared to values obtained from a standard Universal Testing machine and thus validated. As the machine is modular, the parts can be swapped with better components that fits the requirement, leaving the possibility for easy upgrades in the future.
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Books on the topic "Testing of a broaching machine"

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McEnroe, Barry. Machine tool trajectory testing and anlysis. University College Dublin, 1996.

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Kindermann, M. R. A slow strain-rate tensile testing machine. Dept. of Defence, Aeronautical Research Laboratory, 1989.

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Porta, C. Testing of three coordinate measuring machine evaluation algorithms. Commissionof the European Communities, 1986.

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Kelemu, Friew. Threshing-shelling machine of IAR. Institute of Agricultural Research, 1994.

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Jywe, W. A computer-aided accuracy testing device for machine tools. UMIST, 1992.

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Jaspal, Jasinder S. Surface testing and evaluation of the conveyor belt service machine. U.S. Dept. of the Interior, Bureau of Mines, 1988.

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Achmad, Widodo, ed. Introduction of intelligent machine fault diagnosis and prognosis. Nova Science Publishers, 2009.

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Hankel, Steve. Design of a hydraulic bending machine. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2004.

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Pronikov, A. S. Programmnyĭ metod ispytanii͡a︡ metallorezhushchikh stankov. "Mashinostroenie", 1985.

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Shi zha wei yi chuan gan qi yu xin xing ji chuang dong tai jian ce xi tong. Ke xue chu ban she, 2010.

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Book chapters on the topic "Testing of a broaching machine"

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Schiller, Gary F. "Machine Performance Testing." In A Practical Approach to Scientific Molding. Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9781569906873.005.

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Taylor, John T., and Wayne T. Taylor. "Unit Testing." In Patterns in the Machine. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6440-9_6.

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Paluszek, Michael, and Stephanie Thomas. "Multiple Hypothesis Testing." In MATLAB Machine Learning Recipes. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-3916-2_12.

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McEnteggart, I., and R. D. Lohr. "Mechanical testing machine criteria." In Materials Metrology and Standards for Structural Performance. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-1264-2_2.

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Wang, Haiying, and Huiru Zheng. "Model Testing, Machine Learning." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_231.

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Gallardo-Alvarado, Jaime. "Gough’s Tyre Testing Machine." In Kinematic Analysis of Parallel Manipulators by Algebraic Screw Theory. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31126-5_12.

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Amunategui, Manuel, and Mehdi Roopaei. "A/B Testing on PythonAnywhere and MySQL." In Monetizing Machine Learning. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3873-8_14.

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Clarke, Bertrand, Ernest Fokoué, and Hao Helen Zhang. "Multiple Testing." In Principles and Theory for Data Mining and Machine Learning. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-98135-2_11.

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Paluszek, Michael, and Stephanie Thomas. "Autonomous Driving with Multiple Hypothesis Testing." In MATLAB Machine Learning Recipes. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-3916-2_13.

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Strug, Joanna, and Barbara Strug. "Machine Learning Approach in Mutation Testing." In Testing Software and Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34691-0_15.

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Conference papers on the topic "Testing of a broaching machine"

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Ni, Jing, Bin Shao, and Guojin Chen. "Nonlinear PID synchro control on broaching machine with dual cylinder." In 2012 10th World Congress on Intelligent Control and Automation (WCICA 2012). IEEE, 2012. http://dx.doi.org/10.1109/wcica.2012.6358049.

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Shenshun, Ying, Feng Minghui, Yuan Zhiying, and Lin Lvgao. "Design of a New-style Escort Mechanism of Vertical Internal Broaching Machine." In 1st International Conference on Mechanical Engineering and Material Science). Atlantis Press, 2012. http://dx.doi.org/10.2991/mems.2012.180.

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Heer, Gurpreet Singh. "Design and Fabrication of Square Hole Drill Machine." In ASME 2007 2nd Frontiers in Biomedical Devices Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/biomed2007-38015.

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Hole serves various purposes in any machine element. These holes may be round, square, rectangular or any other shape depending on the requirement. For round holes, the machines are available in the market. But for square or any other type of holes, the Methods presently used are broaching, electrode-discharge machine (E.D.M.), electro-chemical machine. These are very expensive and require special tools or machines.
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Guojin Chen, Jing Ni, Tingting Liu, Ming Xu, and Lugao Lin. "Study on structural optimization and servo control for all-electric CNC broaching machine." In 2012 4th Electronic System-Integration Technology Conference (ESTC). IEEE, 2012. http://dx.doi.org/10.1109/estc.2012.6485609.

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Tian, Wenmeng, Lee J. Wells, and Jaime A. Camelio. "Broaching Tool Degradation Characterization Based on Functional Descriptors." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8781.

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With rapid advancements in sensing technologies and computation capabilities, high-resolution machine vision data have become available for various manufacturing processes. For machining, the use of machine vision data has shown great promise in machining tool condition monitoring, a critical factor for final product quality. Extensive research has been performed on wear characterization using intensity-based methods, but limited work has made use of process knowledge for image processing phases. Additionally, previous work focuses on single cutting edge machining tools, but no methods have been proposed for multiple cutting edge machining tools, such as broaches. In this paper, a process knowledge-based image filtering method is proposed to eliminate within-image and between-image noise to obtain effective wear region(s) for each cutting edge on a broach. In addition, these wear regions across multiple cutting edges are jointly described by fitting their relationship with each cutting edge’s respective chip load. Finally, the extracted model parameters are used for unsupervised learning to determine the entire tool’s degradation levels from a training dataset. A case study is introduced to show the effectiveness of the proposed methodology using a hexagonal broach.
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Bergs, Thomas, Benjamin Döbbeler, Tobias Seelbach, Martin Seimann, and Fritz Klocke. "Development of an Alternative Approach for Cutting Force Determination in Broaching." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90139.

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Abstract Fir tree slots in turbine discs are used as an attachment between the disc and the blades. To a great extend, these slots are manufactured by broaching. Currently, the used cutting tool material is High Speed Steel (HSS). Due to its low high temperature stability, the manufacturing process is limited to low cutting speeds (vc = 2–5 m/min) and presents, therefore, a bottleneck in the turbine manufacturing process. To increase the productivity, cemented carbide can be used as cutting tool material with cutting speeds up to five times higher than those used for HSS. Due to the high safety demands, the broaching process requires extensive process design to ensure a high process reliability. For the tool design, profound knowledge of the mechanical loads is mandatory due to its major effect on the manufactured part. Empirical research to investigate the actual mechanical load is time-consuming and expensive due to high tool costs, especially of cemented carbide broaches, and the high amount of possible tool geometry combinations. In this paper, an alternative approach to determine the cutting forces is presented. Grooving experiments were conducted in order to reproduce the engagement conditions from the broaching process. If the transferability of this approach can be shown, the amount of broaching tools as well as the availability of a broaching machine tool for the design of new broaching tools can be decrease dramatically. This would result in a reduction of tool design time and an increase in productivity for tool manufacturers.
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"HD5: machine testing." In Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference. IEEE, 2004. http://dx.doi.org/10.1109/imtc.2004.1351491.

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Sanathkumara, Kumarapelige N., and Samuel N. Cubero. "Automated soil hardness testing machine." In 2007 14th International Conference on Mechatronics and Machine Vision in Practice. IEEE, 2007. http://dx.doi.org/10.1109/mmvip.2007.4430747.

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Carvalho, Fernando D., F. Carvalho Rodrigues, Cassiano P. Pais, and Rogerio Prina. "Automatic Machine For Spin Testing." In Laser Technologies in Industry. SPIE, 1988. http://dx.doi.org/10.1117/12.968816.

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Moghadam, Mahshid Helali. "Machine learning-assisted performance testing." In ESEC/FSE '19: 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ACM, 2019. http://dx.doi.org/10.1145/3338906.3342484.

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Reports on the topic "Testing of a broaching machine"

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Lange, Fred F. Beta Site Testing of the SRI Stereolithography Machine. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada416673.

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Bawaskar, Neerja. Analog Implicit Functional Testing using Supervised Machine Learning. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2097.

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Nicolson, David M., and Richard S. Sayles. Research on a Mini-Disc Machine for Gear Testing. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada195788.

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Yoder, R. C., W. L. Goodwin, and G. K. Werner. Machine reference mirror inspection by optical Fabry-Perot cavity testing. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6275455.

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Augenblick, Ned, Jonathan Kolstad, Ziad Obermeyer, and Ao Wang. Group Testing in a Pandemic: The Role of Frequent Testing, Correlated Risk, and Machine Learning. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w27457.

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Helinski, Arthur L. Continued Simulation Testing of the MK19 MOD3 Machine Gun Support Kit. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada199174.

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Nurprasetio, Pulung, Willy Kurnia, and Indra Nurhadi. Design and Manufacturing of Servo-Hydraulic Testing Machine for Rubber Engine Mounting. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0350.

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Geist, Jon. Machine-assisted human classification of segmented characters for OCR testing and training. National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.5105.

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Kiebel, G. R., J. E. Ellis, and M. R. Masliah. Usability testing of the human-machine interface for the Light Duty Utility Arm System. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10189690.

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Chou, Roger, Tracy Dana, and Kanaka D. Shetty. Testing a Machine Learning Tool for Facilitating Living Systematic Reviews of Chronic Pain Treatments. Agency for Healthcare Research and Quality (AHRQ), 2020. http://dx.doi.org/10.23970/ahrqepcmethtestingmachinelearning.

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