The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Wei Chen - One of the best experts on this subject based on the ideXlab platform.

  • Trajectory Planning for Spray Painting Robot Based on Point Cloud Slicing Technique
    Electronics, 2020
    Co-Authors: Wei Chen, Xu Li, Huilin Ge, Lei Wang, Yuhang Zhang
    Abstract:

    In this paper, aiming at the problem of poor quality and low Spraying efficiency of irregular for complex freeform surfaces, a new Spray Painting robot trajectory planning method based on point cloud slicing technology is proposed. Firstly, the point cloud data of the workpiece to be Sprayed is obtained by laser scanning. The point cloud data is processed to obtain the point cloud model of the Sprayed workpiece. Then the section polysemy line is obtained after slice acquisition and section data processing of the point cloud model. The section polysemy line is sampled on average, and the normal vector of all sampling points is estimated. Finally, interpolation algorithm is used to connect the data points to obtain the space trajectory of Spraying robot. In addition, the droplet trajectory model for electrostatic Spray Painting is established. The experimental results show that the method fully meets the requirements of coating thickness and improves the Spraying efficiency and uniformity of coating.

  • Research on spacial trajectory optimization for Spray Painting robot oriented to 3D entities
    2018 Chinese Control And Decision Conference (CCDC), 2018
    Co-Authors: Wei Chen, Yang Tang
    Abstract:

    In this paper, the spatial trajectory optimization method of Spray Painting robot for 3D entity objects is proposed. A simple mathematic model of paint deposition rate is established by experimental method, and the 3D entity is patched by the surface modeling method based on FPAG. After planning the Spray path on each patch, the improved GA algorithm and ACO algorithm are used to solve the TTOI problem. The feasibility of each algorithm is verified by simulation experiments. Finally, the Spray Painting experiments are carried out on the self-developed off-line programming experiment platform of Spray Painting robot and the results of two algorithms are compared. The experimental results show that the trajectory optimization of Spray Painting robot for 3D entity proposed can completely meet the requirements of the uniformity of paint thickness.

  • trajectory optimization of Spray Painting robot for complex curved surface based on exponential mean bezier method
    Mathematical Problems in Engineering, 2017
    Co-Authors: Wei Chen, Yang Tang, Jian Huan
    Abstract:

    Automated tool trajectory planning for Spray Painting robots is still a challenging problem, especially for a large complex curved surface. This paper presents a new method of trajectory optimization for Spray Painting robot based on exponential mean Bezier method. The definition and the three theorems of exponential mean Bezier curves are discussed. Then a spatial Painting path generation method based on exponential mean Bezier curves is developed. A new simple algorithm for trajectory optimization on complex curved surfaces is introduced. A golden section method is adopted to calculate the values. The experimental results illustrate that the exponential mean Bezier curves enhanced flexibility of the path planning, and the trajectory optimization algorithm achieved satisfactory performance. This method can also be extended to other applications.

  • trajectory optimization of electrostatic Spray Painting robots on curved surface
    THE Coatings, 2017
    Co-Authors: Wei Chen, Yang Tang
    Abstract:

    In this paper, a new practical electrostatic rotating bell (ESRB) cumulative rate model of Painting is derived, and an experimental study on Painting is carried out. First, the experimental method is used to obtain the radial thickness profile function of the spatial paint distribution of static Spray. Then, a spatial trajectory-planning scheme for a Spray-Painting robot based on a rectangular model is presented. This method designs the spatial path of the Spray-Painting robot by using the cuboid model method after the optimal value is taken as the width d of the overlapping area of the two Spray-Painting strokes in the plane. The experimental results illustrate that the paint thickness basically meets the requirements, and the experimental results verify the effectiveness of the trajectory optimization method.

  • Path planning scheme for Spray Painting robot with Bézier curves on complex curved surfaces
    2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2017
    Co-Authors: Wei Chen, Yang Tang
    Abstract:

    Surface modeling of Spraying work-piece is the first step of Spraying robot path optimization. In this paper, a surface modeling method is proposed by using Bezier curves. The Bezier polynomial surface is constructed based on Bernstein polynomials. And each triangular in the surface of the Bezier triangular surface is called the B-B triangle. The B-B triangulation algorithm is proposed. Then a new path planning scheme for Spray Painting robot based on the Bezier curves is developed. This paper investigates the Bezier path generation for an industrial robot as the case study. The results confirmed that the proposed path planning scheme along with the advised motion planning architecture is not only feasible for the Spray Painting robot but also yields a smooth path with a satisfactory performance for all the joints. With this scheme, it is better to keep uniform speed of Spray Painting for complex curved surfaces.

Yang Tang - One of the best experts on this subject based on the ideXlab platform.

  • Research on spacial trajectory optimization for Spray Painting robot oriented to 3D entities
    2018 Chinese Control And Decision Conference (CCDC), 2018
    Co-Authors: Wei Chen, Yang Tang
    Abstract:

    In this paper, the spatial trajectory optimization method of Spray Painting robot for 3D entity objects is proposed. A simple mathematic model of paint deposition rate is established by experimental method, and the 3D entity is patched by the surface modeling method based on FPAG. After planning the Spray path on each patch, the improved GA algorithm and ACO algorithm are used to solve the TTOI problem. The feasibility of each algorithm is verified by simulation experiments. Finally, the Spray Painting experiments are carried out on the self-developed off-line programming experiment platform of Spray Painting robot and the results of two algorithms are compared. The experimental results show that the trajectory optimization of Spray Painting robot for 3D entity proposed can completely meet the requirements of the uniformity of paint thickness.

  • trajectory optimization of Spray Painting robot for complex curved surface based on exponential mean bezier method
    Mathematical Problems in Engineering, 2017
    Co-Authors: Wei Chen, Yang Tang, Jian Huan
    Abstract:

    Automated tool trajectory planning for Spray Painting robots is still a challenging problem, especially for a large complex curved surface. This paper presents a new method of trajectory optimization for Spray Painting robot based on exponential mean Bezier method. The definition and the three theorems of exponential mean Bezier curves are discussed. Then a spatial Painting path generation method based on exponential mean Bezier curves is developed. A new simple algorithm for trajectory optimization on complex curved surfaces is introduced. A golden section method is adopted to calculate the values. The experimental results illustrate that the exponential mean Bezier curves enhanced flexibility of the path planning, and the trajectory optimization algorithm achieved satisfactory performance. This method can also be extended to other applications.

  • trajectory optimization of electrostatic Spray Painting robots on curved surface
    THE Coatings, 2017
    Co-Authors: Wei Chen, Yang Tang
    Abstract:

    In this paper, a new practical electrostatic rotating bell (ESRB) cumulative rate model of Painting is derived, and an experimental study on Painting is carried out. First, the experimental method is used to obtain the radial thickness profile function of the spatial paint distribution of static Spray. Then, a spatial trajectory-planning scheme for a Spray-Painting robot based on a rectangular model is presented. This method designs the spatial path of the Spray-Painting robot by using the cuboid model method after the optimal value is taken as the width d of the overlapping area of the two Spray-Painting strokes in the plane. The experimental results illustrate that the paint thickness basically meets the requirements, and the experimental results verify the effectiveness of the trajectory optimization method.

  • Path planning scheme for Spray Painting robot with Bézier curves on complex curved surfaces
    2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2017
    Co-Authors: Wei Chen, Yang Tang
    Abstract:

    Surface modeling of Spraying work-piece is the first step of Spraying robot path optimization. In this paper, a surface modeling method is proposed by using Bezier curves. The Bezier polynomial surface is constructed based on Bernstein polynomials. And each triangular in the surface of the Bezier triangular surface is called the B-B triangle. The B-B triangulation algorithm is proposed. Then a new path planning scheme for Spray Painting robot based on the Bezier curves is developed. This paper investigates the Bezier path generation for an industrial robot as the case study. The results confirmed that the proposed path planning scheme along with the advised motion planning architecture is not only feasible for the Spray Painting robot but also yields a smooth path with a satisfactory performance for all the joints. With this scheme, it is better to keep uniform speed of Spray Painting for complex curved surfaces.

  • A novel trajectory planning scheme for Spray Painting robot with Bézier curves
    2016 Chinese Control and Decision Conference (CCDC), 2016
    Co-Authors: Wei Chen, Yang Tang, Qiang Zhao
    Abstract:

    In this paper, a novel trajectory planning for Spray Painting robot is introduced using Bezier curves. First, a Spray Painting model of Bezier surface is established, and the paint deposition rate function for Bezier surface is given. In order to ensure computational efficiency, a new curve, to be called T-Bezier curve is generated from T-Bezier basis. After the discrete points array on equidistant surface are found, a new trajectory planning scheme for Spray Painting robot based on the T-Bezier curves is developed. This paper investigates the Bezier trajectory generation for an industrial robot as the case study. The results confirmed that the proposed trajectory planning scheme along with the advised motion planning architecture is not only feasible for the Spray Painting robot but also yields a smooth trajectory with a satisfactory performance for all the joints. With this scheme, it is better to keep uniform speed of Spray Painting for complex curved surfaces.

J. S. Carlson - One of the best experts on this subject based on the ideXlab platform.

  • A Modified TAB Model for Simulation of Atomization in Rotary Bell Spray Painting
    Journal of Mechanical Engineering and Automation, 2017
    Co-Authors: Björn O Andersson, Sven Jakobsson, A Mark, Lars Davidson, Valeri Golovitchev, Fredrik Edelvik, J. S. Carlson
    Abstract:

    The Rotary bell Spray applicator technique is commonly used in the automotive industry for paint application because of its high transfer efficiency and high-quality result. The bell spins rapidly around its axis with a tangential velocity at the edge in the order of 100 m/s. The paint falls off the edge and enters the air with a large relative velocity, driving the atomization into small droplets where the resulting size distribution depends on the process conditions. Especially the rotation speed of the bell is an important parameter governing the size distribution. The main research question in this work is to investigate if the Taylor Analogy Breakup (TAB) model can be used to predict the resulting droplet size distributions in Spray Painting. As the paint is a viscous fluid a modification of the TAB model taking non-linear effects of large viscosity into account is proposed. The parameters in the breakup model are tuned by optimization to match droplet size distributions obtained in CFD simulations with measured ones. Results are presented for three cases with rotation speeds from 30 to 50 thousand RPM where the full droplet size distributions are compared with measurements. Good results are obtained for all three cases where the simulated size distributions compare well to measurements over a wide range of droplet sizes. The TAB method is able to quantitatively predict the result of the breakup process and can be used in a preprocessing stage of a full Spray Painting simulation, thereby reducing the need for costly and cumbersome measurements.

  • Simulation of Electrostatic Rotary Bell Spray Painting in Automotive Paint Shops
    Atomization and Sprays, 2013
    Co-Authors: A Mark, K. Engstrom, H. Sorod, Silvio Tafuri, Bjorn Andersson, Fredrik Edelvik, J. S. Carlson
    Abstract:

    A new framework for simulation of electrostatic Spray Painting is proposed based on novel algorithms for coupled simulations of air flow, electromagnetic fields, and paint droplets. Particularly important for the computational efficiency is the Navier-Stokes solver. The incompressible solver is based on a finite volume discretization on a dynamic Cartesian octree grid and unique immersed boundary methods are used to model the presence of objects in the fluid. This enables modeling of moving objects at virtually no additional computational cost and greatly simplifies preprocessing by avoiding the cumbersome generation of a body-conforming mesh. To validate the simulation framework an extensive measurement campaign has been performed. Several test plates and car fenders were painted with different process conditions and robot paths. The same cases were then simulated and overall the agreement between simulations and experiments are remarkably good. The very efficient implementation gives a major improvement of computational speed compared to other approaches and makes it possible to simulate Spray Painting of a full car in just a few hours on a standard computer. © 2013 by Begell House, Inc.

  • Modified TAB Model for Viscous Fluids applied to Breakup in Rotary Bell Spray Painting
    12th International Conference on Liquid Atomization and Spray Systems, 2012
    Co-Authors: B Andersson, Sven Jakobsson, A Mark, Lars Davidson, Valeri Golovitchev, Fredrik Edelvik, J. S. Carlson
    Abstract:

    The Taylor Analogy Breakup (TAB) model is applied to droplet breakup in rotary bell Spray Painting commonly used in the automotive industry. The bell spins rapidly around its axis with a tangential velocity at the edge in the order of 100 m/s. The paint falls off the edge and enters the air with a large relative velocity, driving the atomization. The paint is a viscous fluid and a modification of the TAB model taking non-linear effects of large viscosity into account is described. The parameters in the breakup model are tuned to match droplet size distributions obtained in CFD simulations with measured ones. Results are presented for three cases with rotation speeds from 30 to 50 thousand RPM where the full droplet size distributions are compared with measurements. Good results are obtained for all three cases where the simulated size distributions compare well to measurements over a wide range of droplet sizes. The obtained results can be used in a preprocessing stage of a full Spray Painting simulation thereby reducing the need for costly and cumbersome measurements.

  • simulation of electrostatic rotary bell Spray Painting in automotive paint shops
    Proceedings of 12th International Conference on Liquid Atomization and Spray Systems, 2012
    Co-Authors: A Mark, K. Engstrom, H. Sorod, Silvio Tafuri, Fredrik Edelvik, Björn O Andersson, J. S. Carlson
    Abstract:

    A new framework for simulation of electrostatic Spray Painting is proposed based on novel algorithms for coupled simulations of air flow, electromagnetic fields and paint droplets. Particularly important for the computational efficiency is the Navier-Stokes solver. The incompressible solver is based on a finite volume discretization on a dynamic Cartesian octree grid and unique immersed boundary methods are used to model the presence of objects in the fluid. This enables modeling of moving objects at virtually no additional computational cost, and greatly simplifies preprocessing by avoiding the cumbersome generation of a body conforming mesh. To validate the simulation framework an extensive measurement campaign has been performed. Several test plates and car fenders were painted with different process conditions and robot paths. The same cases were then simulated and overall the agreement between simulations and experiments are remarkably good. The very efficient implementation gives a major improvement of computational speed compared to other approaches and makes it possible to simulate Spray Painting of a full car in just a few hours on a standard computer.

Yifan Chen - One of the best experts on this subject based on the ideXlab platform.

  • cad based automated robot trajectory planning for Spray Painting of free form surfaces
    Industrial Robot-an International Journal, 2002
    Co-Authors: Heping Chen, Weihua Sheng, Mumin Song, Ning Xi, Yifan Chen
    Abstract:

    Automatic trajectory generation for Spray Painting is highly desirable for today’s automotive manufacturing. Generating paint gun trajectories for free‐form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free‐form surfaces. In this paper, a CAD‐guided paint gun trajectory generation system for free‐form surfaces has been developed. The system utilizes the CAD information of a free‐form surface to be painted and a paint gun model to generate a paint gun trajectory to satisfy the paint thickness requirements. A paint thickness verification method is also provided to verify the generated trajectories. The simulation results have shown that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD‐guided robot trajectory planning applications.

  • CAD‐based automated robot trajectory planning for Spray Painting of free‐form surfaces
    Industrial Robot-an International Journal, 2002
    Co-Authors: Heping Chen, Weihua Sheng, Mumin Song, Ning Xi, Yifan Chen
    Abstract:

    Automatic trajectory generation for Spray Painting is highly desirable for today’s automotive manufacturing. Generating paint gun trajectories for free‐form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free‐form surfaces. In this paper, a CAD‐guided paint gun trajectory generation system for free‐form surfaces has been developed. The system utilizes the CAD information of a free‐form surface to be painted and a paint gun model to generate a paint gun trajectory to satisfy the paint thickness requirements. A paint thickness verification method is also provided to verify the generated trajectories. The simulation results have shown that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD‐guided robot trajectory planning applications.

  • ICRA - Automated robot trajectory planning for Spray Painting of free-form surfaces in automotive manufacturing
    Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 2002
    Co-Authors: Heping Chen, Weihua Sheng, Mumin Song, Ning Xi, Yifan Chen
    Abstract:

    Automatic trajectory generation for Spray Painting is highly desirable for today's automotive manufacturing. Generating paint gun trajectories for free-form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free-from surfaces. In this paper, a CAD-guided paint gun trajectory generation system for free-form surfaces has been developed. A paint thickness verification method is also provided to verify the generated trajectories. The results of experiments and simulations show that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD-guided robot trajectory planning applications.

  • Automated robot trajectory planning for Spray Painting of free-form surfaces in automotive manufacturing
    Proceedings - IEEE International Conference on Robotics and Automation, 2002
    Co-Authors: Heping Chen, Weihua Sheng, Mumin Song, Ning Xi, Yifan Chen
    Abstract:

    Automatic trajectory generation for Spray Painting is highly desirable for today's automotive manufacturing. Generating paint gun trajectories for free-form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free-from surfaces. In this paper, a CAD-guided paint gun trajectory generation system for free-form surfaces has been developed. A paint thickness verification method is also provided to verify the generated trajectories. The results of experiments and simulations show that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD-guided robot trajectory planning applications.

  • IROS - Automated CAD-guided robot path planning for Spray Painting of compound surfaces
    Proceedings. 2000 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113), 2000
    Co-Authors: Weihua Sheng, Yifan Chen, Mumin Song, Ning Xi, Perry Macneille
    Abstract:

    In this paper, a CAD-guided robot path generator is developed for the Spray Painting of compound surfaces commonly seen in automotive manufacturing. Instead of widely used parametric representation of surfaces, a planar facet scheme is used to approximate the Painting surfaces. As a result, a new combinatorial gun path planning algorithm is proposed. In this algorithm, big patches are formed by stitching small surfaces together. Therefore, the path planning is solved based on the global characteristics of tire part, and the resulting Spray gun paths are well-behaved in the sense of time, coverage, and wastage. The proposed algorithm has been implemented and tested using ROBCAD/sup TM//Paint.

Heping Chen - One of the best experts on this subject based on the ideXlab platform.

  • CASE - Automated industrial robot path planning for Spray Painting process: A review
    2008 IEEE International Conference on Automation Science and Engineering, 2008
    Co-Authors: Heping Chen, Tom Fuhlbrigge, Xiongzi Li
    Abstract:

    Industrial robots are widely used to paint final products in many industries, such as automotive and furniture etc. Robot path planning based on the CAD models of parts for Spray Painting is critical for product quality, process cycle time and material waste etc. Currently automated robot path planning has always caused a bottleneck for the Spray Painting processes because typical manual teaching methods are time consuming, error-prone and skill dependent. Thus, it is essential to develop automated tool path planning methods to replace manual tool path planning ones in order to reduce the cost and improve product quality. This challenging research topic has been receiving more and more attention from both academia and industry. Therefore, a review of automated tool path planning methods is necessary to investigate the advantages and disadvantages of the current techniques.

  • Automated industrial robot path planning for Spray Painting a process: A review
    4th IEEE Conference on Automation Science and Engineering CASE 2008, 2008
    Co-Authors: Heping Chen, Fuhlbrigge Thomas, Li Xiongzi
    Abstract:

    Industrial robots are widely used to paint final products in many industries, such as automotive and furniture etc. Robot path planning based on the CAD models of parts for Spray Painting is critical for product quality, process cycle time and material waste etc. Currently automated robot path planning has always caused a bottleneck for the Spray Painting processes because typical manual teaching methods are time consuming, error-prone and skill dependent. Thus, it is essential to develop automated tool path planning methods to replace manual tool path planning ones in order to reduce the cost and improve product quality. This challenging research topic has been receiving more and more attention from both academia and industry. Therefore, a review of automated tool path planning methods is necessary to investigate the advantages and disadvantages of the current techniques.

  • cad based automated robot trajectory planning for Spray Painting of free form surfaces
    Industrial Robot-an International Journal, 2002
    Co-Authors: Heping Chen, Weihua Sheng, Mumin Song, Ning Xi, Yifan Chen
    Abstract:

    Automatic trajectory generation for Spray Painting is highly desirable for today’s automotive manufacturing. Generating paint gun trajectories for free‐form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free‐form surfaces. In this paper, a CAD‐guided paint gun trajectory generation system for free‐form surfaces has been developed. The system utilizes the CAD information of a free‐form surface to be painted and a paint gun model to generate a paint gun trajectory to satisfy the paint thickness requirements. A paint thickness verification method is also provided to verify the generated trajectories. The simulation results have shown that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD‐guided robot trajectory planning applications.

  • CAD‐based automated robot trajectory planning for Spray Painting of free‐form surfaces
    Industrial Robot-an International Journal, 2002
    Co-Authors: Heping Chen, Weihua Sheng, Mumin Song, Ning Xi, Yifan Chen
    Abstract:

    Automatic trajectory generation for Spray Painting is highly desirable for today’s automotive manufacturing. Generating paint gun trajectories for free‐form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free‐form surfaces. In this paper, a CAD‐guided paint gun trajectory generation system for free‐form surfaces has been developed. The system utilizes the CAD information of a free‐form surface to be painted and a paint gun model to generate a paint gun trajectory to satisfy the paint thickness requirements. A paint thickness verification method is also provided to verify the generated trajectories. The simulation results have shown that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD‐guided robot trajectory planning applications.

  • ICRA - Automated robot trajectory planning for Spray Painting of free-form surfaces in automotive manufacturing
    Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 2002
    Co-Authors: Heping Chen, Weihua Sheng, Mumin Song, Ning Xi, Yifan Chen
    Abstract:

    Automatic trajectory generation for Spray Painting is highly desirable for today's automotive manufacturing. Generating paint gun trajectories for free-form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free-from surfaces. In this paper, a CAD-guided paint gun trajectory generation system for free-form surfaces has been developed. A paint thickness verification method is also provided to verify the generated trajectories. The results of experiments and simulations show that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD-guided robot trajectory planning applications.