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Journal articles on the topic 'Path generation'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 May 2024

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1

Kumar, Gagan, and Vinay Chopra. "Automatic Test Data Generation for Basis Path Testing." Indian Journal Of Science And Technology 15, no. 41 (November 5, 2022): 2151–61. http://dx.doi.org/10.17485/ijst/v15i41.1503.

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2

Chirvasitu, Alexandru. "Metric enrichment, finite generation, and the path coreflection." Archivum Mathematicum, no. 2 (2024): 61–99. http://dx.doi.org/10.5817/am2024-2-61.

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3

Goldenberg, A. A., and D. L. Lawrence. "End Effector Path Generation." Journal of Dynamic Systems, Measurement, and Control 108, no. 2 (June 1, 1986): 158–62. http://dx.doi.org/10.1115/1.3143761.

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The path followed by a robotic manipulator is often defined by a sequence of Cartesian knots, i.e., position and orientation (location) of the end effector and the corresponding linear and angular velocity (speed) at each knot. The path location and speed in the interval between knots are not specified. Typically the control of robots is performed in terms of joint coordinates. Often, the joint coordinates corresponding to the path knots are splined together using lower degree polynomials. The actual path and speed followed by the end effector can be obtained by performing forward (direct) kinematics—a pointwise transformation. To obtain a good approximation of the actual path, many points must be used. In this paper an efficient first order approximation of the actual path using third order (cubic) interpolating polynomials is presented. The technique eliminates the need for repeatedly using the forward kinematics. The technique is illustrated by means of numerical examples.

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4

Teng, Kai, and Yong Zeng. "The Path Optimization of Spray Painting Robot for Two Path Pattern." Advanced Materials Research 605-607 (December 2012): 1563–67. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1563.

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Automatic trajectory generation for spray painting is highly desirable for today’s automotive manufacturing. Generating paint gun trajectories for complex curved surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of surfaces. In this paper, based on existing of method which complex surfaces are divided into patches to satisfy the constraints, two path optimization algorithms for path pattern have been developed. Two algorithms are developed to optimize the spiral path and zigzag path on a patch by modifying the planning direction of paint gun path. The results of simulations have shown that the two path planning algorithms achieve satisfactory performance.

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5

Djelic, Marie-Laure, and Sigrid Quack. "Overcoming path dependency: path generation in open systems." Theory and Society 36, no. 2 (March 15, 2007): 161–86. http://dx.doi.org/10.1007/s11186-007-9026-0.

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6

Kyaw, Aye Aye, and Myat Myat Min. "An Efficient Approach for Model Based Test Path Generation." International Journal of Information and Education Technology 5, no. 10 (2015): 763–67. http://dx.doi.org/10.7763/ijiet.2015.v5.607.

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7

Li, Yanran, and Wenjie Li. "Meta-Path Augmented Response Generation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9971–72. http://dx.doi.org/10.1609/aaai.v33i01.33019971.

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We propose a chatbot, namely MOCHA to make good use of relevant entities when generating responses. Augmented with meta-path information, MOCHA is able to mention proper entities following the conversation flow.

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8

Mansour, Nashat, and Miran Salame. "Data Generation for Path Testing." Software Quality Journal 12, no. 2 (June 2004): 121–36. http://dx.doi.org/10.1023/b:sqjo.0000024059.72478.4e.

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9

Akçali, I. D., and G. Dittrich. "Path generation by subdomain method." Mechanism and Machine Theory 24, no. 1 (January 1989): 45–52. http://dx.doi.org/10.1016/0094-114x(89)90082-7.

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10

Zhu, Jiang, Akimitsu Hozumi, Tomohisa Tanaka, and Yoshio Saito. "High Efficiency Tool Path Generation for Freeform Surface Machining Based on NURBS Subdivision." Key Engineering Materials 625 (August 2014): 372–77. http://dx.doi.org/10.4028/www.scientific.net/kem.625.372.

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Along with the rapid development of CAD/CAM system, the smooth surfaces are widely used in industry design. Especially NURBS surface attracts rising attentions because NURBS can describe flat surface, freeform surface and so on. Currently a lot of tool path generation patterns are proposed for milling process of freeform surface. Nevertheless there are still some problems on generating efficient tool path for freeform surface under the requested surface finish roughness. In this research, in order to resolve these problems, NURBS surface is divided into some patches and the tool path is generated on each patch. This paper proposes a surface divide method and makes a comparison between this method and undivided method. As a result, it is found that dividing the surface is helpful for the making shorter tool path and increase the machining efficiency.

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11

Farhang, K., A. Midha, and A. S. Hall. "Synthesis of Harmonic Motion Generating Linkages—Part II: Path and Motion Generation." Journal of Mechanisms, Transmissions, and Automation in Design 110, no. 1 (March 1, 1988): 22–27. http://dx.doi.org/10.1115/1.3258899.

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This paper, a sequel to a companion paper on function generation, discusses the path and motion generation problems in the synthesis of linkages with relatively small input cranks. The point on the floating link (i.e., the coupler of a crank-rocker linkage or the connecting rod in a slider-crank linkage) traces an approximate ellipse. This fact serves as a major distinction between the method described herein and the conventional, more general, synthesis techniques. In other words, only elliptical paths may be generated by the path (or coupler) points in the synthesis of linkages with small cranks. Higher-order path and motion generation, in which velocity, acceleration, slope and the rate of change of slope of the coupler path may be specified, are also addressed in this paper.

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12

Onufrey, Ksenia. "Endogenous sources of path generation in a path dependent industry." Technology Analysis & Strategic Management 29, no. 9 (December 22, 2016): 1062–75. http://dx.doi.org/10.1080/09537325.2016.1268683.

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13

Freeman, S. "Test generation for data-path logic: the F-path method." IEEE Journal of Solid-State Circuits 23, no. 2 (April 1988): 421–27. http://dx.doi.org/10.1109/4.1002.

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14

Subbian, T., and D. R. Flugrad. "Four-Bar Path Generation Synthesis by a Continuation Method." Journal of Mechanical Design 113, no. 1 (March 1, 1991): 63–69. http://dx.doi.org/10.1115/1.2912752.

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A different approach for the synthesis of four-bar planar path generating mechanisms is presented. A continuation method is used to solve the system of nonlinear equations derived for the path generating problem. A brief description of the method is provided followed by the development of equations representing the four-bar linkage. The implementation of the method for five position path generation is discussed in detail and the solutions for two examples are presented.

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15

Ames, Arlo L., Elaine M. Hinman-Sweeney, and John M. Sizemore. "Automated Generation of Weld Path Trajectories." Journal of Ship Production 19, no. 03 (August 1, 2003): 147–50. http://dx.doi.org/10.5957/jsp.2003.19.3.147.

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AUTOmated GENeration of Control Programs for Robotic Welding of Ship Structure (AUTOGEN) is software that automates the planning and compiling of control programs for robotic welding of ship structure. The software works by evaluating computer representations of the ship design and the manufacturing plan. Based on this evaluation, AUTOGEN internally identifies and appropriately characterizes each weld. Then it constructs the robot motions necessary to accomplish the welds and determines for each the correct assignment of process control values. AUTOGEN generates these robot control programs completely without manual intervention or edits except to correct wrong or missing input data. Most ship structure assemblies are unique or at best manufactured only a few times. Accordingly, the high cost inherent in all previous methods of preparing complex control programs has made robot welding of ship structures economically unattractive to the U.S. shipbuilding industry. AUTOGEN eliminates the cost of creating robot control programs. With programming costs eliminated, capitalization of robots to weld ship structures becomes economically viable. Robot welding of ship structures will result in reduced ship costs, uniform product quality, and enhanced worker safety. Sandia National Laboratories and Northrop Grumman Ship Systems worked with the National Shipbuilding Research Program to develop a means of automated path and process generation for robotic welding. This effort resulted in the AUTOGEN program, which has successfully demonstrated automated path generation and robot control. Although the current implementation of AUTOGEN is optimized for welding applications, the path and process planning capability has applicability to a number of industrial applications, including painting, riveting, and adhesive delivery.

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16

Fox, Jamie, and Giray Ökten. "Brownian Path Generation and Polynomial Chaos." SIAM Journal on Financial Mathematics 12, no. 2 (January 2021): 724–43. http://dx.doi.org/10.1137/20m1343154.

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17

LIM, C. P., and C. H. MENQ. "CMM feature accessibility and path generation." International Journal of Production Research 32, no. 3 (March 1994): 597–618. http://dx.doi.org/10.1080/00207549408956955.

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18

Gervas, P., E. Concepcion, C. Leon, G. Mendez, and P. Delatorre. "The long path to narrative generation." IBM Journal of Research and Development 63, no. 1 (January 2019): 8:1–8:10. http://dx.doi.org/10.1147/jrd.2019.2896157.

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19

Sarma, R., and D. Dutta. "Tool path generation for NC grinding." International Journal of Machine Tools and Manufacture 38, no. 3 (February 1998): 177–95. http://dx.doi.org/10.1016/s0890-6955(97)00040-0.

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20

Chen, Renjie, Craig Gotsman, and Kai Hormann. "Efficient Path Generation with Reduced Coordinates." Computer Graphics Forum 37, no. 5 (August 2018): 37–48. http://dx.doi.org/10.1111/cgf.13489.

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21

Park, Sang C., and Yun C. Chung. "Tool-path generation from measured data." Computer-Aided Design 35, no. 5 (April 2003): 467–75. http://dx.doi.org/10.1016/s0010-4485(02)00070-2.

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22

Chang, Minho, Chong Man Kim, and Sang C. Park. "Tool-path generation for sidewall machining." Computers & Industrial Engineering 56, no. 4 (May 2009): 1649–56. http://dx.doi.org/10.1016/j.cie.2008.10.019.

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23

Serin, Ekrem, Serdar Hasan Adali, and Selim Balcisoy. "Automatic path generation for terrain navigation." Computers & Graphics 36, no. 8 (December 2012): 1013–24. http://dx.doi.org/10.1016/j.cag.2012.08.006.

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24

Abreu, M., D. Labbate, and S. C. Locke. "6-path-connectivity and 6-generation." Discrete Mathematics 301, no. 1 (September 2005): 20–27. http://dx.doi.org/10.1016/j.disc.2003.03.002.

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25

Anand, S., S. Raman, and R. A. Wysk. "Vision assisted NC milling path generation." Journal of Manufacturing Systems 7, no. 3 (January 1988): 233–40. http://dx.doi.org/10.1016/0278-6125(88)90007-6.

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26

Pióro, Michał, Ilya Kalesnikau, and Michael Poss. "Path Generation for Affine Flow Thinning." Electronic Notes in Discrete Mathematics 64 (February 2018): 355–64. http://dx.doi.org/10.1016/j.endm.2018.02.010.

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27

Yeryomin, Yevgeniy, and Joc Hen Seitz. "Framework for Flexible Multi-Metric Path Selection for Next Generation Network." Journal of Advances in Computer Networks 3, no. 1 (2015): 42–48. http://dx.doi.org/10.7763/jacn.2015.v3.140.

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28

Ji, Shi Jun, Hui Juan Yu, Ji Zhao, Lei Zhang, and Deng Peng Huang. "Theoretical Analysis about Off-Axis Parabolic Surface Machining under Two Different Accurate Spiral Tool Paths." Key Engineering Materials 625 (August 2014): 267–73. http://dx.doi.org/10.4028/www.scientific.net/kem.625.267.

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Off-axis aspheric surface is an indispensable optical device for the high precision measurement and manufacturing equipment, and the tool path generation is a very important factor for the manufacturing to obtain the surface with high precision form and nanometric surface finish. In this paper, the systemic description of tool path generation method about the off-axis parabolic surface with ultra-precision single point diamond turning is processed. Two effective methods of generating the accurate spiral tool path are proposed and compared. The proposed methods are mainly based on mathematical calculation directly from analytic surfaces, including the general process of tool path generation, cutting-tool compensation and avoiding tool interference. This work can provide the theoretical basis of choosing the cutting tool path for off-axis parabolic surface and can improve the efficiency and precision of machine. Finally, some cutting simulations are implemented to prove the proposed methods.

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29

LI, Fuqiang, Xiaoqing WEN, Kohei MIYASE, Stefan HOLST, and Seiji KAJIHARA. "Logic-Path-and-Clock-Path-Aware At-Speed Scan Test Generation." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E99.A, no. 12 (2016): 2310–19. http://dx.doi.org/10.1587/transfun.e99.a.2310.

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30

Obikawa, Toshiyuki, and Tsutomu Sekine. "A Higher-Order Formula of Path Interval for Tool-Path Generation." International Journal of Automation Technology 5, no. 5 (September 5, 2011): 663–68. http://dx.doi.org/10.20965/ijat.2011.p0663.

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This paper presents a novel fourth-order formula for determining path intervals and comprehensively considers path interval formulas. In tool-path generation, a path interval is generally formulated as a scallopheight polynomial. Controlling scallop height in mechanical machining improves surface roughness or machining efficiency. We derived a novel fourth-order formula for determining path intervals after reviewing several formulas, then compared formulas. This clarified the differences between path interval formulas with graphic evidence. In micromechanical machining, an approximate expression has an advantage in computational cost but a disadvantage in accuracy. Although our proposed formula includes the fourth order-term scallop height, it requires low computational cost and can be applied to the determining path intervals for free-form surfaces in micromechanical machining. In addition, a correction method of the surface roughness on a free-form surface measured with a profilometer was proposed.

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31

Choi, Jinyoung, Kangmin Kim, Seongil Kim, Minseok Kim, Taekgwan Nam, and Youngjin Park. "Camera Path Generation for Triangular Mesh Using Toroidal Patches." Applied Sciences 14, no. 2 (January 5, 2024): 490. http://dx.doi.org/10.3390/app14020490.

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Triangular mesh data structures are principal in computer graphics, serving as the foundation for many 3D models. To effectively utilize these 3D models across diverse industries, it is important to understand the model’s overall shape and geometric features thoroughly. In this work, we introduce a novel method for generating camera paths that emphasize the model’s local geometric characteristics. This method uses a toroidal patch-based spatial data structure, approximating the mesh’s faces within a predetermined tolerance ϵ, encapsulating their geometric intricacies. This facilitates the determination of the camera position and gaze path, ensuring the mesh’s key characteristics are captured. During the path construction, we create a bounding cylinder for the mesh, project the mesh’s faces and associated toroidal patches onto the cylinder’s lateral surface, and sequentially select grids of the cylinder containing the highest number of toroidal patches as we traverse the lateral surface. The centers of the selected grids are used as control points for a periodic B-spline curve, which serves as our foundational path. After initial curve generation, we generated camera position and gaze path from the curve by multiplying factors to ensure a uniform camera amplitude. We applied our method to ten triangular mesh models, demonstrating its effectiveness and adaptability across various mesh configurations.

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32

Kobayashi, Yoshikazu, Kenji Shirai, Yasuhiko Hara, Tomohiro Mizoguchi, and Kiyotaka Kawasaki. "Generation and Assessment of Random Surface Texture over a Wide Area." International Journal of Automation Technology 5, no. 2 (March 5, 2011): 185–89. http://dx.doi.org/10.20965/ijat.2011.p0185.

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Product surface textures are designed to improve their aesthetic, tactile, and mechanical quality. Surface texture manufactured with microrough patterns over a wide area differs from common geometric product machining. We have proposed generating a surface texture with regular patterns by milling. Here we propose generating a random-pattern surface texture using image processing. Digital surface-texture data consists of “real” three-Dimensional (3D) machining information. Wide-area digital surface-texture data such as scattered point data, Initial Graphics Exchange Specifications (IGES), and Standard Triangulated Language (STL) require humongous memory. The complexity and area of surface texture processed to generate tool paths is limited by computational considerations and generating the tool path for a widearea surface texture is time-consuming, so we propose generating random wide-area-pattern surface texture without the need for wide-area digital texture data. Instead, this uses only wide-area image data and narrowarea digital data. A wide-area tool path is generated by image quilting, which creates a patchwork in which patches represent both image and digital data for narrow-area surface texture, reducing surface distortion for patch boundaries. This paper introduces the generation of random pattern texture and machined samples assessing patch-boundary distortion.

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33

Shang, Ce, Hongyao Shen, Jianzhong Fu, Yangfan Sun, Shuhua Yue, and Jianfeng Zhang. "Five-Axis Tool Path Generation of Injection Mold Represented by T-Spline Surface." Advances in Polymer Technology 2020 (March 9, 2020): 1–11. http://dx.doi.org/10.1155/2020/2075434.

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Injection molding is widely used in industries to produce polymeric products. At present, compound NURBS surfaces are commonly used to represent freeform surfaces in mold models. This work uses T-spline surface with extraordinary control points instead of NURBS to represent freeform surfaces in mold models. Compared with NURBS, T-splines’ higher-order continuity facilitates the mold quality control especially at the patch boundary. And, its patch layout information can be utilized for tool path planning. We propose an algorithm to determine the patch processing order and generate nonretraction tool path for T-spline surface models. The tool paths are generated patch by patch using isoparametric strategy. Actual machining and injection molding experiments have been conducted. The result shows the feasibility of the proposed method, and the final product is in good quality.

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34

Kang, Xin Cai, Dian Zhu Sun, Yang Shi, and Yong Wei Sun. "Research on Generating Interference-Free Tool Path Based on Triangular Bézier Surface." Advanced Materials Research 201-203 (February 2011): 799–804. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.799.

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To improve efficiency of NC tool path generation for triangular Bézier surface and solve the interference issues of tool path, we proposed an algorithm of generating interference-free NC tool path based on triangular Bézier surface. The R*S tree is introduced into the algorithm and the dynamic spatial index structure of the triangular Bézier surface model is established by R*S tree; the intersection regions are acquired rapidly based on the R*S tree, so that the intersection triangular Bézier patches are located exactly; each intersection triangular Bézier patch is adaptively subdivided into many triangular planar patches in the scope of the tool path precision; the intersection curves are acquired through the intersection of triangular planar patches and cutting planes; the points on intersection curves are taken as the driving points, thus the interference-free cutter location points of triangular Bézier surface are obtained by the iterative calculation method, and then the interference-free cutter location points are connected rightly to generate NC tool path. It has been proved by examples that the algorithm of generating NC tool path based on triangular Bézier surface has strong adaptation to data type and that it can accurately and efficiently obtain the interference-free NC tool-path for the intricate triangular Bézier surface.

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35

Huang, Xiong, QingLan Li, and JieLie Chen. "Tool Path Generation Algorithm Based on Rough Machining of Jade Carving Surface." Mathematical Problems in Engineering 2022 (April 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/2518687.

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To improve the quality of tool paths in surface machining, different machining requirements are considered in the tool path generation algorithm. In the traditional tool path generation algorithm, due to the lack of a unified mathematical calculation framework, these requirements often need to be considered separately, but they often compete with each other, so that different requirements cannot be satisfied at the same time and the tool path cannot achieve the optimal. To resolve this issue, an extensive tool path generation algorithm framework for arbitrary surfaces was proposed. The proposed algorithm transforms the tool path calculation framework into a constrained functional optimization problem by establishing an optimization function based on the potential energy field and an inequality function based on the gradient field in the machining area. By establishing finite element approximation, the functional optimization problem is transformed into a numerical optimization problem, which reduces the difficulty of solving. According to the machining requirements of die surface such as tool path smoothness, line width constraint and cutting direction constraints were transformed into the constraints of potential energy field isopotential line, and the method of generating reciprocating cutter path and cutter contact path isosection cutter path was proposed by optimizing the method. It is evident from the simulation and machining experiments results that continuous and smooth tool paths can be generated by using this algorithm, and machining quality and machining efficiency can be improved. By adding different machining requirements into the framework, a tool path with different optimization objectives can be generated.

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36

Jung, Dong-Won. "Smooth Path Generation using Hexagonal Cell Representation." Journal of the Korean Society for Aeronautical & Space Sciences 39, no. 12 (December 1, 2011): 1124–32. http://dx.doi.org/10.5139/jksas.2011.39.12.1124.

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37

Abbas, Tahseen, and Sara Shawi. "Automatic Tool Path Generation for Parametric Surfaces." Engineering and Technology Journal 37, no. 1A (January 25, 2019): 20–27. http://dx.doi.org/10.30684/etj.37.1a.4.

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38

Lekkas, Anastasios M., Andreas Reason Dahl, Morten Breivik, and Thor I. Fossen. "Continuous-Curvature Path Generation Using Fermat's Spiral." Modeling, Identification and Control: A Norwegian Research Bulletin 34, no. 4 (2013): 183–98. http://dx.doi.org/10.4173/mic.2013.4.3.

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39

Fujii, Yuto, Teppei SAITOH, and Yoji KURODA. "1A1-E06 Optimal Path Generation using GPS." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2010 (2010): _1A1—E06_1—_1A1—E06_4. http://dx.doi.org/10.1299/jsmermd.2010._1a1-e06_1.

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40

Yin, Z. "Adaptive tool path generation from measured data." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218, no. 1 (January 2004): 103–11. http://dx.doi.org/10.1243/095440504772830246.

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41

Petrík, Vladimír, Vladimír Smutný, Pavel Krsek, and Václav Hlaváč. "Single arm robotic garment folding path generation." Advanced Robotics 31, no. 23-24 (September 5, 2017): 1325–37. http://dx.doi.org/10.1080/01691864.2017.1367325.

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42

Mombaur, K., A. Truong, and J. P. Laumond. "Identifying the objectives of human path generation." Computer Methods in Biomechanics and Biomedical Engineering 12, sup1 (August 2009): 189–91. http://dx.doi.org/10.1080/10255840903091528.

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43

Damper, R. I., and N. Burgess. "MOS Test Pattern Generation Using Path Algebras." IEEE Transactions on Computers C-36, no. 9 (September 1987): 1123–28. http://dx.doi.org/10.1109/tc.1987.5009546.

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44

Yang, Zhengyi, and Yonghua Chen. "Inspection Path Generation in Haptic Virtual CMM." Computer-Aided Design and Applications 2, no. 1-4 (January 2005): 273–82. http://dx.doi.org/10.1080/16864360.2005.10738375.

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45

Zubair, Ahmad Faiz, and Mohd Salman Abu Mansor. "Tool-path Generation for Groove Machining Feature." IOP Conference Series: Materials Science and Engineering 834 (June 23, 2020): 012049. http://dx.doi.org/10.1088/1757-899x/834/1/012049.

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46

Asiabanpour, Bahram, and Behrokh Khoshnevis. "Machine path generation for the SIS process." Robotics and Computer-Integrated Manufacturing 20, no. 3 (June 2004): 167–75. http://dx.doi.org/10.1016/j.rcim.2003.10.005.

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47

Lai, Yuan-Lung. "Tool-path generation of planar NURBS curves." Robotics and Computer-Integrated Manufacturing 26, no. 5 (October 2010): 471–82. http://dx.doi.org/10.1016/j.rcim.2010.03.006.

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48

Li, F., X. C. Wang, S. K. Ghosh, D. Z. Kong, T. Q. Lai, and X. T. Wu. "Tool-path generation for machining sculptured surface." Journal of Materials Processing Technology 48, no. 1-4 (January 1995): 811–16. http://dx.doi.org/10.1016/0924-0136(94)01725-g.

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49

Wadie, I. H. C., and K. Khodabandehloo. "Path generation for robotic cutting of carcasses." Computers and Electronics in Agriculture 12, no. 1 (January 1995): 65–80. http://dx.doi.org/10.1016/0168-1699(94)00038-r.

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50

Sarkar, Subhajit, and Partha Pratim Dey. "Tool path generation for algebraically parameterized surface." Journal of Intelligent Manufacturing 26, no. 2 (June 9, 2013): 415–21. http://dx.doi.org/10.1007/s10845-013-0799-x.

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