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Journal articles on the topic 'Post-processor'

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Published: 4 June 2021
Last updated: 3 February 2022

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1

McHaney, Roger, and Doug White. "Proof post processor animation with SIMAN." ACM SIGSIM Simulation Digest 23, no. 3 (March 21, 1994): 33–49. http://dx.doi.org/10.1145/191571.191578.

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2

Fitzpatrick, K. K. "A reduced complexity EPR4 post-processor." IEEE Transactions on Magnetics 34, no. 1 (1998): 135–40. http://dx.doi.org/10.1109/20.663501.

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3

Lehal, G. S., and Chandan Singh. "A post-processor for Gurmukhi OCR." Sadhana 27, no. 1 (February 2002): 99–111. http://dx.doi.org/10.1007/bf02703315.

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4

Son, Hwang Jin, Young Tae Cho, and Yoon Gyo Jung. "Development of Post Processor for Five-Axis Machine of Non-Orthogonal Head Tilting Type." Advanced Materials Research 655-657 (January 2013): 1304–9. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1304.

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A five-axis machine can be developed with various mechanisms as it simply adds two axes to three coordinate axes. Therefore, five-axis machining utilizes post-processor for conversion to NC code, which the five-axis machine can read, with tool path CL data created by CAM depending on the mechanism of each device. This study introduces a post-processor program that tilts from axis B, of which the head is inclined at about 45 degrees, moves straight toward the X and Z axes, rotates the table from C, and then moves along axis Y. The post-processor mechanism was applied to the program after calculating the rotation angles and tilting angles using inverse kinematics and mapping the part coordinate system by machine coordinate system. Then, to evaluate the established post processor formula, it was verified twice. First, a tool path that was identical to that created by a commercial post-processor program, Post Works, was post-processed and comparably reviewed to, verify the performance of the proposed method. Secondly, a test specimen was manufactured by creating NC data from the developed post processor program. After manufacturing the test specimen, the compatibility was verified, suggesting the possibility to commercialize the five-axis machine and the post -processor program.
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5

Liu, Ying, Fan Xie, Jie Liu, and Jin Cheng Wang. "The NC Machining Post-Processing Technology Based on UG." Advanced Materials Research 753-755 (August 2013): 1254–57. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1254.

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Post-processing technology is the key to CNC automatic programming technology and an important module of the CAD / CAM system. Post-processing technology converts the NC program that is produced by the CNC automatic programming tool into the file that can be identified by CNC system. Moreover, the generated tool path files must match with the CNC system. Post-processing techniques and UG software are briefly introduced. Using them, a post-processor for FANUC CNC systems is created. The program that generated by the special processor is contrasted with the general processor. The results illustrat that using the dedicated post-processor in engineering applications can improve programming efficiency and processing reliability.
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6

Serbin, Steven M., and Alan Lamont Fisher. "A Post-Processor for the Cosine Method." SIAM Journal on Scientific and Statistical Computing 9, no. 1 (January 1988): 14–23. http://dx.doi.org/10.1137/0909002.

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7

Preische, S., J. Manickam, and J. L. Johnson. "A post-processor for the PEST code." Computer Physics Communications 76, no. 3 (August 1993): 318–27. http://dx.doi.org/10.1016/0010-4655(93)90059-l.

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8

Dini, Daniele, Alexander M. Korsunsky, and Fionn P. E. Dunne. "Diffraction Post-Processor for Polycrystalline Plasticity Modelling." Materials Science Forum 524-525 (September 2006): 427–32. http://dx.doi.org/10.4028/www.scientific.net/msf.524-525.427.

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Microscopic and macroscopic deformation of a polycrystal due to an applied load can be modelled using crystal plasticity implemented within the Finite Element (FE) framework. However, while macroscopic predictions can readily be validated against conventional monotonic and cyclic stress-strain curves, verification at the microscopic level is harder to achieve, since it involves calibrating the predictions for stresses and strains in individual grains, or in grains grouped by certain criteria (e.g., orientation). In this paper an elasto-plastic polycrystal finite element model is introduced, and its calibration is performed at a mesoscopic level via comparison with neutron diffraction data obtained experimentally. Time-of-flight (TOF) neutron diffraction experiments carried out on ENGIN-X instrument at ISIS involved in situ loading of samples of C263 nickel-based superalloy. In order to compare the numerical predictions of the FE model with these experimental data, the corresponding mesoscale average elastic strains must be extracted from the results of the simulation by employing a ‘diffraction post-processor’. This provides a much improved technique for the calibration of FE formulation and enhances the confidence in the model. The FE diffraction post-processing procedures are discussed in detail, and comparison between the model predictions and experimental data are presented.
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9

Ramachandra, V., D. L. Kimbler, and G. Naadimuthu. "Expert post-processor for simulation output analysis." Computers & Industrial Engineering 15, no. 1-4 (January 1988): 98–103. http://dx.doi.org/10.1016/0360-8352(88)90070-8.

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10

Pokhrel, P., D. E. Robertson, and Q. J. Wang. "A Bayesian joint probability post-processor for reducing errors and quantifying uncertainty in monthly streamflow predictions." Hydrology and Earth System Sciences 17, no. 2 (February 22, 2013): 795–804. http://dx.doi.org/10.5194/hess-17-795-2013.

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Abstract. Hydrologic model predictions are often biased and subject to heteroscedastic errors originating from various sources including data, model structure and parameter calibration. Statistical post-processors are applied to reduce such errors and quantify uncertainty in the predictions. In this study, we investigate the use of a statistical post-processor based on the Bayesian joint probability (BJP) modelling approach to reduce errors and quantify uncertainty in streamflow predictions generated from a monthly water balance model. The BJP post-processor reduces errors through elimination of systematic bias and through transient errors updating. It uses a parametric transformation to normalize data and stabilize variance and allows for parameter uncertainty in the post-processor. We apply the BJP post-processor to 18 catchments located in eastern Australia and demonstrate its effectiveness in reducing prediction errors and quantifying prediction uncertainty.
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11

Fountas, Nikolaos A., Constantinos I. Stergiou, Nikolaos M. Vaxevanidis, and Redha Benhadj-Djilali. "A Generic Multi-Axis Post-Processor Engine for Optimal CNC Data Creation and Intelligent Surface Machining." Solid State Phenomena 261 (August 2017): 463–69. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.463.

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This paper focuses on the development of a multi-axis post-processor engine with a curvature-based feed adaptation module, capable of extracting generic CNC data for high precision machining. The motivation of this work stems from the drawback of standard and commercial post-processors to modify their internal source codes so as to be implemented to newly-developed functions which integrate modern CNC units. The multi-axis post-processor proposed in this work operates as a stand-alone function of an artificial intelligent module that optimizes machining parameters for standard swept cut multi-axis surface tool-paths. The post-processor developed receives APT source files previously been optimized by means of a genetic algorithm that handles cutting tool selection; radial cut engagement; maximum discretization step; lead and tilt angles. The algorithm optimizes the aforementioned machining parameters towards the minimization of the number of cutter locations found in a specific APT source file as well as the surface machining error as a combined effect of chordal deviation and scallop height. The final APT output is then properly handled by the post-processor engine so as to extract the final ISO code for a double-pivoted head 5-axis CNC machine and compute optimal values for feed rate in each NC block considering the interpolation error and curvature analysis given the surface properties. To simulate and verify our proposals, the MAZAK Vortex 1000 gantry-type 5-axis CNC machine tool equipped with a Fanuc 15i CNC unit has been selected as the manufacturing resource corresponding to the final CNC output that the proposed post-processor computes. A benchmark sculptured part is created and used for the virtual material removal simulation in CATIA® V5 R18. For that part, both the proposed post-processor engine and a commercially available post-processor were employed to extract G-code data whilst it was shown that identical outputs were obtained.
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12

Zhao, L., Q. Duan, J. Schaake, A. Ye, and J. Xia. "A hydrologic post-processor for ensemble streamflow predictions." Advances in Geosciences 29 (February 28, 2011): 51–59. http://dx.doi.org/10.5194/adgeo-29-51-2011.

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Abstract. This paper evaluates the performance of a statistical post-processor for imperfect hydrologic model forecasts. Assuming that the meteorological forecasts are well-calibrated, we employ a "General Linear Model (GLM)" to post-process simulations produced by a hydrologic model. For a particular forecast date, the observations and simulations from an "analysis window" and hydrologic model forecasts for a "forecast window", the GLM Post-Processor (GLMPP) is used to produce an ensemble of predictions of the streamflow observations that will occur during the "forecast window". The objectives of the GLMPP are to: (1) preserve any skill in the original hydrologic ensemble forecast; (2) correct systematic model biases; (3) retain the equal-likelihood assumption for the ensemble; (4) preserve temporal scale dependency relationships in streamflow hydrographs and the uncertainty in the predictions; and, (5) produce reliable ensemble predictions. Observed and simulated daily streamflow data from the Second Workshop on Model Parameter Estimation Experiment (MOPEX) are used to test how well these objectives are met when the GLMPP is applied to ensemble hydrologic forecasts driven by well calibrated meteorological forecasts. A 39-year hydrologic dataset from the French Broad basin is split into calibration and verification periods. The results show that the GLMPP built using data from the calibration period removes the mean bias when applied to hydrologic model simulations from both the calibration and verification periods. Probability distributions of the post-processed model simulations are shown to be closer to the climatological probability distributions of observed streamflow than the distributions of the unadjusted simulated flows. A number of experiments with different GLMPP configurations were also conducted to examine the effects of different configurations for forecast and analysis window lengths on the robustness of the results.
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13

Karim, Mohammad A. "Smart Quasiserial post processor for optical systolic systems." Applied Optics 30, no. 8 (March 10, 1991): 910. http://dx.doi.org/10.1364/ao.30.000910.

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14

Lee, Jun, and Kees A. Immink. "Advanced soft-reliability information-based post-viterbi processor." IEEE Transactions on Consumer Electronics 57, no. 4 (November 2011): 1586–91. http://dx.doi.org/10.1109/tce.2011.6131129.

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15

KAWAOKA, Takushi. "Introduction of the personal pre-post processor GiD." Proceedings of Design & Systems Conference 2002.12 (2002): 151–53. http://dx.doi.org/10.1299/jsmedsd.2002.12.151.

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16

Lemaitre, Jean, and Issam Doghri. "Damage 90: a post processor for crack initiation." Computer Methods in Applied Mechanics and Engineering 115, no. 3-4 (May 1994): 197–232. http://dx.doi.org/10.1016/0045-7825(94)90060-4.

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17

Kaldashev, Tsvetan. "DEVELOPING LATHES POSTPROCESSOR GENERATING CYCLES OF PROCESSING GROOVES." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 3 (June 20, 2019): 74. http://dx.doi.org/10.17770/etr2019vol3.4186.

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This article explores the possibility of developing a post-processor generating circles for radial and facsimile grooves in PTC Creo environments using a generalized postprocessor G-POST and a specialized language FIL (Factory Interface Language). The proposed development approach can also be applied to post-processor generating cycles for rough and fine turning (G71, G72 and G70).
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18

Zhang, Li, and Yu Zhang. "The Development and Research of Special Postprocessor for DMU125FD Machining Center." Advanced Materials Research 314-316 (August 2011): 1620–23. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.1620.

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This article appeared in foreign countries, the B-axis tilt of 45 ° with a turntable for a special non-orthogonal body Rocker 5-axis machining center, the correlation is derived post-processing algorithm, through a combination of UG/Post Builder post-processor development tools, the development of models for DMU125FD processing center dedicated post-processors, and implements the turning&milling complex processing functions, and further proved by experiments that the special post-processor is correct and practical.
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19

Cai, An Jiang, Fang Rong Ma, Ming Wei Ding, and Shi Hong Guo. "Development of Post Processor for Dual-Spindle Turning Center." Applied Mechanics and Materials 541-542 (March 2014): 804–7. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.804.

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This paper takes dual-spindle turning center as the research object, researching on the key technology of the efficient processing and integration application, the special post processor for dual-spindle turning center was developed based on the IMSPOST, the technical problems of dual-spindle structural system and post processing algorithm for varies of processing modes were solved, the NC processing programs were generated effectively and correctly. Production application showed that: the development of post processor for dual-spindle turning center improves the automation level and quality of NC programming effectively, brings the processing capability of dual-spindle turning center full play, and provides technical support for the manufacturing of complex mechanical products.
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20

Osawa, Hisashi, Masayuki Kawae, Yoshihiro Okamoto, Yasuaki Nakamura, and Hiroaki Muraoka. "Neural Network Equalizer for GPRML System with Post-Processor." Physics Procedia 16 (2011): 75–82. http://dx.doi.org/10.1016/j.phpro.2011.06.111.

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21

Hawreliak, J., D. Chambers, S. Glenzer, R. S. Marjoribanks, M. Notley, P. Pinto, O. Renner, et al. "A Thomson scattering post-processor for the MEDUSA hydrocode." Journal of Quantitative Spectroscopy and Radiative Transfer 71, no. 2-6 (October 2001): 383–95. http://dx.doi.org/10.1016/s0022-4073(01)00084-x.

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22

Xing, Wan, and Yong Jiang. "Research on Copper Foil Post-Processor Tension Control System." Applied Mechanics and Materials 43 (December 2010): 221–24. http://dx.doi.org/10.4028/www.scientific.net/amm.43.221.

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The copper foil post-processor is used to deal with the surface of copper, and the tension control is an important issue for the quality of the product.With reference to the process of copper foil post-treatment, this paper introduces the hardware and software design of its tension control system respectively and the result has fulfilled the tension control function very well.
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23

Lee, Jae-Wook, Jeong-Woo Park, Myung-Hoon Yang, Sungho Kang, and Yoonsik Choe. "Efficient algorithm and architecture for post-processor in HDTV." Computer Standards & Interfaces 20, no. 6-7 (March 1999): 453. http://dx.doi.org/10.1016/s0920-5489(99)90959-5.

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24

Hagiwara, Ichiro, and Junichi Shinoda. "F01-1 The High Precise/Efficience Pri/Post Processor." Proceedings of The Computational Mechanics Conference 2001.14 (2001): 673–74. http://dx.doi.org/10.1299/jsmecmd.2001.14.673.

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25

Jae-Wook Lee, Jeong-Woo Park, Myung-Hoon Yang, Sungho Kang, and Yoonsik Choe. "Efficient algorithm and architecture for post-processor in HDTV." IEEE Transactions on Consumer Electronics 44, no. 1 (1998): 16–26. http://dx.doi.org/10.1109/30.663726.

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26

NORBERG, S., and M. OLSSON. "A fast, versatile fatigue post-processor and criteria evaluation." International Journal of Fatigue 27, no. 10-12 (October 2005): 1335–41. http://dx.doi.org/10.1016/j.ijfatigue.2005.07.011.

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27

Patodi, S. C., and S. P. Jethmalani. "A method and a post-processor for predicting post-buckling response of arches." Computers & Structures 43, no. 4 (May 1992): 713–18. http://dx.doi.org/10.1016/0045-7949(92)90513-y.

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28

Tripathy, Padmaja, and Kalipada Maity. "Cutting forces analysis of micro-milling process on Inconel 718 – a finite element approach." International Journal of Modeling, Simulation, and Scientific Computing 11, no. 02 (February 25, 2020): 2050011. http://dx.doi.org/10.1142/s1793962320500117.

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This paper presents a modeling and simulation of micro-milling process with finite element modeling (FEM) analysis to predict cutting forces. The micro-milling of Inconel 718 is conducted using high-speed steel (HSS) micro-end mill cutter of 1mm diameter. The machining parameters considered for simulation are feed rate, cutting speed and depth of cut which are varied at three levels. The FEM analysis of machining process is divided into three parts, i.e., pre-processer, simulation and post-processor. In pre-processor, the input data are provided for simulation. The machining process is further simulated with the pre-processor data. For data extraction and viewing the simulated results, post-processor is used. A set of experiments are conducted for validation of simulated process. The simulated and experimental results are compared and the results are found to be having a good agreement.
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29

Shen, Nan Yan, Zhi Xiang Yu, and Jing Li. "Realization of the Postprocessor of Intelligent Turning-Milling Combined Machining Cell Based on UG NX." Advanced Materials Research 712-715 (June 2013): 2303–7. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2303.

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The post processor of the flexible machining cell (FMC) composed by turn-mill machining centre and transport robot, which realizes some special functions such as automatic loading and unloading, turning-milling combined processing, keeping account of the man hour and so on, is developed by NX/Post Builder. The post processor is verified by the results of the case study using a special-shaped shaft. The development method discussed in this paper beneficial for producing an advantage of FMC to improve machining efficiency can also be used for reference to realize the postprocessor of other kinds of combined machine tools or machining cells.
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30

TAKEUCHI, Yoshimi, and Takahiro WATANABE. "Study on Post-processor for 5-Axis Control Machining Centers." Journal of the Japan Society for Precision Engineering 58, no. 9 (1992): 1586–92. http://dx.doi.org/10.2493/jjspe.58.1586.

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31

Torok, Jozef, Marek Kocisko, Monika Teliskova, Jaroslav Petrus, and Dusan Paulisin. "QUALITY OF 3D PRINTED SURFACE BASED ON SELECTED POST PROCESSOR." MM Science Journal 2018, no. 02 (June 6, 2018): 2346–49. http://dx.doi.org/10.17973/mmsj.2018_06_201745.

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32

Meunier, G., J. C. Sabonnadiere, and J. L. Coulomb. "The finite element post-processor of FLUX3D (field computation package)." IEEE Transactions on Magnetics 27, no. 5 (September 1991): 3786–91. http://dx.doi.org/10.1109/20.104927.

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33

KITA, Eisuke, and Norio KAMIYA. "Boundary Element Shape Optimization Process for Post-processor of FEM." Transactions of the Japan Society of Mechanical Engineers Series A 58, no. 552 (1992): 1453–59. http://dx.doi.org/10.1299/kikaia.58.1453.

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34

Lee, Jun, and Kees Schouhamer Immink. "A new post-viterbi processor based on soft-reliability information." IEEE Transactions on Consumer Electronics 57, no. 2 (May 2011): 842–47. http://dx.doi.org/10.1109/tce.2011.5955231.

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35

KIKKAWA, Yoshihito. "W052003 Treating Large Data by General Purpose Post-processor EnSight." Proceedings of Mechanical Engineering Congress, Japan 2011 (2011): _W052003–1—_W052003–6. http://dx.doi.org/10.1299/jsmemecj.2011._w052003-1.

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36

HORIBE, Tadashi, and Daisuke ARAKI. "314 A Elasto-plastic FEM Program Having Pre-post Processor." Proceedings of Ibaraki District Conference 2009 (2009): 93–94. http://dx.doi.org/10.1299/jsmeibaraki.2009.93.

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37

HORIBE, Tadashi, Kotaro MORI, and Daiki KOMABA. "206 Development of 3D FEM program having pre-post processor." Proceedings of Ibaraki District Conference 2014.22 (2014): 81–82. http://dx.doi.org/10.1299/jsmeibaraki.2014.22.81.

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38

Bays, L. E., Chin-Fu Chen, E. M. Fields, R. N. Gadenz, W. P. Hays, H. S. Moscovitz, and T. G. Szymanski. "Post-layout verification of the WE DSP32 digital signal processor." IEEE Design & Test of Computers 6, no. 1 (February 1989): 56–66. http://dx.doi.org/10.1109/54.20390.

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39

Tsui, Y., and Y. M. Cheng. "A simple and fast post-processor for finite element analysis." Computers & Structures 48, no. 4 (August 1993): 555–74. http://dx.doi.org/10.1016/0045-7949(93)90249-d.

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40

Suryasarman, Vasudevan Madampu, Santosh Biswas, and Aryabartta Sahu. "Automation of Test Program Synthesis for Processor Post-silicon Validation." Journal of Electronic Testing 34, no. 1 (February 2018): 83–103. http://dx.doi.org/10.1007/s10836-018-5709-x.

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41

XU, Rufeng. "Method of Five-axis Tool Radius Compensation Based on Post-processor." Journal of Mechanical Engineering 50, no. 13 (2014): 157. http://dx.doi.org/10.3901/jme.2014.13.157.

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42

Nagata, Fusaomi, Yusaku Yamane, Yudai Okada, Takamasa Kusano, Keigo Watanabe, and Maki K. Habib. "Development of post-processor approach for an industrial robot FANUC R2000iC." Artificial Life and Robotics 23, no. 2 (November 24, 2017): 186–91. http://dx.doi.org/10.1007/s10015-017-0411-0.

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43

Woo, Kyeongsik, and John D. Whitcomb. "A post-processor approach for stress analysis of woven textile composites." Composites Science and Technology 60, no. 5 (April 2000): 693–704. http://dx.doi.org/10.1016/s0266-3538(99)00165-7.

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44

Glickman, S., A. Dezsu, and G. Gy Halasz. "Advanced Alarm-Management Post-Processor Prototype for a Fossil Power Station." IFAC Proceedings Volumes 27, no. 10 (August 1994): 165–70. http://dx.doi.org/10.1016/s1474-6670(17)45865-4.

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45

Munro, E., X. Zhu, H. Liu, J. A. Rouse, and W. K. Waskiewicz. "An object pattern post-processor for validation of electron optical modelling." Microelectronic Engineering 46, no. 1-4 (May 1999): 205–8. http://dx.doi.org/10.1016/s0167-9317(99)00063-5.

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46

Lukac, Rastislav, and Konstantinos N. Plataniotis. "A robust, cost-effective post-processor for enhancing demosaicked camera images." Real-Time Imaging 11, no. 2 (April 2005): 139–50. http://dx.doi.org/10.1016/j.rti.2005.03.002.

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47

Macedo, L. A., W. M. Torres, G. Sabundjian, D. A. Andrade, and A. Belchior Jr. "Web-based post-processor for RELAP5: a development based on LabVIEW." International Journal of Nuclear Energy Science and Technology 7, no. 2 (2012): 166. http://dx.doi.org/10.1504/ijnest.2012.048818.

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48

Ma, Jianfeng, Prakash Krishnaswami, and X. J. Xin. "A truly meshless pre- and post-processor for meshless analysis methods." Advances in Engineering Software 38, no. 1 (January 2007): 9–30. http://dx.doi.org/10.1016/j.advengsoft.2006.07.001.

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49

Beer, G., and G. Lang. "A graphical post-processor for computer-aided design of mine excavations." International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 29, no. 3 (May 1992): 307–22. http://dx.doi.org/10.1016/0148-9062(92)93663-5.

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50

Tang, Qing-Chun, Shao-Hui Yin, Guan-Hua Zhang, and Hu Luo. "Post-processor development for a turning and milling composite machine tool." International Journal of Advanced Manufacturing Technology 95, no. 1-4 (October 13, 2017): 131–41. http://dx.doi.org/10.1007/s00170-017-1139-7.

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