An Adaptive Tool Path Generation for Fused Deposition Modeling

2013 ◽  
Vol 819 ◽  
pp. 7-12 ◽  
Author(s):  
Yu An Jin ◽  
Yong He ◽  
Jian Zhong Fu
Keyword(s):  
Fused Deposition Modeling ◽  
Tool Path ◽  
Tool Path Generation ◽  
Path Generation ◽  
Tool Paths ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Proportional Relationship ◽  
Adaptive Tool

This paper presents an adaptive tool path generation method for Fused Deposition Modeling (FDM). The proposed method consists of three steps. First, an adaptive slicing considering both surface quality and building time is proposed for following tool path generation. Second, a hybrid tool path strategy is introduced to improve the boundary contours accuracy. This step is an adaptive process to choose an appropriate proportional relationship between the two types of tool paths according to the specific fabrication requirements. For further improvement, a tool path adjustment is employed on the original tool paths. A case study of a sliced layer is used to verify the feasibility and advantage of the proposed method.

Tool Path Generation for Single Point Incremental Forming Using Intelligent Sequencing and Multi-Step Mesh Morphing Techniques

2013 ◽  
Vol 554-557 ◽  
pp. 1408-1418 ◽  
Author(s):  
Amar Kumar Behera ◽  
Bert Lauwers ◽  
Joost R. Duflou
Keyword(s):  
Tool Path ◽  
Single Point ◽  
Tool Path Generation ◽  
Path Generation ◽  
Tool Paths ◽  
Mapping Strategy ◽  
Integrated Technique ◽  
Improved Accuracy ◽  
Sequencing Procedure

A new methodology of generating optimized tool paths for incremental sheet forming is proposed in this work. The objective is to make parts with improved accuracy. To enable this, a systematic technique of creating features using a morph mapping strategy is developed. This strategy is based on starting with a shape different from the final shape, available as a triangulated STL model, and using step-wise incremental deformation to the original mesh to arrive at the final part shape. Further, optimal tool path generation requires intelligent sequencing of partial tool paths that may be applied specifically to certain features on the part. The sequencing procedure is discussed next and a case study showing the application of the integrated technique is illustrated.

Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Hari P. N. Nagarajan ◽  
Hossein Mokhtarian ◽  
Hesam Jafarian ◽  
Saoussen Dimassi ◽  
Shahriar Bakrani-Balani ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Additive Manufacturing ◽  
Fused Deposition Modeling ◽  
Expert Knowledge ◽  
Fused Deposition ◽  
Knowledge Based ◽  
Deposition Modeling ◽  
Artificial Neural

Additive manufacturing (AM) continues to rise in popularity due to its various advantages over traditional manufacturing processes. AM interests industry, but achieving repeatable production quality remains problematic for many AM technologies. Thus, modeling different process variables in AM using machine learning can be highly beneficial in creating useful knowledge of the process. Such developed artificial neural network (ANN) models would aid designers and manufacturers to make informed decisions about their products and processes. However, it is challenging to define an appropriate ANN topology that captures the AM system behavior. Toward that goal, an approach combining dimensional analysis conceptual modeling (DACM) and classical ANNs is proposed to create a new type of knowledge-based ANN (KB-ANN). This approach integrates existing literature and expert knowledge of the AM process to define a topology for the KB-ANN model. The proposed KB-ANN is a hybrid learning network that encompasses topological zones derived from knowledge of the process and other zones where missing knowledge is modeled using classical ANNs. The usefulness of the method is demonstrated using a case study to model wall thickness, part height, and total part mass in a fused deposition modeling (FDM) process. The KB-ANN-based model for FDM has the same performance with better generalization capabilities using fewer weights trained, when compared to a classical ANN.

Adaptive tool-path generation of rapid prototyping for complex product models

2011 ◽  
Vol 30 (3) ◽  
pp. 154-164 ◽  
Author(s):  
G.Q. Jin ◽  
W.D. Li ◽  
C.F. Tsai ◽  
L. Wang
Keyword(s):  
Rapid Prototyping ◽  
Tool Path ◽  
Tool Path Generation ◽  
Path Generation ◽  
Complex Product ◽  
Product Models ◽  
Adaptive Tool

Study of The Tool Path Generation Method of an Ultra-Precision Spherical Complex Surface Based on a Five-Axis Machine Tool

2021 ◽  
Author(s):  
Tianji Xing ◽  
Xuesen Zhao ◽  
Zhipeng Cui ◽  
Rongkai Tan ◽  
Tao Sun
Keyword(s):  
Surface Roughness ◽  
Tool Path ◽  
Spherical Surface ◽  
Tool Path Generation ◽  
Path Generation ◽  
Tool Paths ◽  
Spherical Surfaces ◽  
Spherical Complex ◽  
Ultra Precision ◽  
Five Axis

Abstract The improvement of ultra-precision machining technology has significantly boosted the demand for the surface quality and surface accuracy of the workpieces to be machined. However, the geometric shapes of workpiece surfaces cannot be adequately manufactured with simple plane, cylindrical, or spherical surfaces because of their different applications in various fields. In this research, a method was proposed to generate tool paths for the machining of complex spherical surfaces based on an ultra-precise five-axis turning and milling machine with a C-Y-Z-X-B structure. Through the proposed tool path generation method, ultra-precise complex spherical surface machining was achieved. First, the complex spherical surface model was modeled and calculated, and then it was combined with the designed model to generate the tool path. Then the tool paths were generated with a numerically controlled (NC) program. Based on an ultra-precision three-coordinate measuring instrument and a white light interferometer, the machining accuracy of a workpiece surface was characterized, and t[1]he effectiveness of the provided tool path generation method was verified. The surface roughness of the machined workpiece was less than 90 nm. Furthermore, the surface roughness within the spherical region appeared to be less than 30 nm. The presented tool path generation method in this research produced ultra-precision spherical complex surfaces. The method could be applied to complex spherical surfaces with other characteristics.

Use of a virtual milling system to generate power-aware tool paths for 2.5-dimensional pocket machining

2019 ◽  
Vol 233 (13) ◽  
pp. 2419-2435 ◽  
Author(s):  
David Manuel Ochoa González ◽  
Joao Carlos Espindola Ferreira
Keyword(s):  
Power Consumption ◽  
Tool Path ◽  
Tool Path Generation ◽  
Path Generation ◽  
Machining Time ◽  
Power Requirement ◽  
Pocket Machining ◽  
Direction Parallel ◽  
Generation Algorithm ◽  
Tool Paths

Traditional (direction-parallel and contour-parallel) and non-traditional (trochoidal) tool paths are generated by specialized geometric algorithms based on the pocket shape and various parameters. However, the tool paths generated with those methods do not usually consider the required machining power. In this work, a method for generating power-aware tool paths is presented, which uses the power consumption estimation for the calculation of the tool path. A virtual milling system was developed to integrate with the tool path generation algorithm in order to obtain tool paths with precise power requirement control. The virtual milling system and the tests used to calibrate it are described within this article, as well as the proposed tool path generation algorithm. Results from machining a test pocket are presented, including the real and the estimated power requirements. Those results were compared with a contour-parallel tool path strategy, which has a shorter machining time but has higher in-process power consumption.

Sheet Metal Laser Cutting Tool Path Generation: Dealing with Overlooked Problem Aspects

2015 ◽  
Vol 639 ◽  
pp. 517-524 ◽  
Author(s):  
Reginald Dewil ◽  
Pieter Vansteenwegen ◽  
Dirk Cattrysse
Keyword(s):  
Penalty Function ◽  
Laser Cutting ◽  
Tool Path ◽  
Cutting Tool ◽  
Tool Path Generation ◽  
Metal Sheet ◽  
Path Generation ◽  
Plate Edge ◽  
Tool Paths ◽  
Easy Problem

This paper deals with non-trivial problem aspects of laser cutting tool path generation that, to the best of our knowledge, received relatively little attention in the scientific literature. It is shown that some aspects such as plate edge nesting, skeleton and remnant cutting, and clamp positioning can be modeled and solved with little additional effort using existing tool path algorithms. However, concepts such as collision avoidance, pre-cut optimization, and bridge utilization prove to be more challenging and will require more profound algorithmic adjustments if these have to be taken into account fully. An even harder problem aspect is generating tool paths that are thermally feasible. Since laser cutting introduces net heat into the metal sheet, the metal sheet tends to heat up as the cutting progresses. Quality deterioration can occur if the laser spends too much time cutting in the same region. It is shown how to model the easy problem extensions in order to handle them using existing problem approaches and solution approaches are suggested to tackle the harder concepts. In addition, a proof of concept is presented that shows that thermal feasible tool paths can be generated through a multi-start heuristic utilizing a thermal penalty function. A finite difference method iteratively (or concurrently dependent on the used heuristic) evaluates the thermal feasibility and updates the penalty function.

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