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Algorithms
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Algorithms for Computer-Aided Design
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Algorithms for Computer-Aided Design

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: closed (28 February 2020) | Viewed by 17923

Special Issue Editor

Prof. Dr. Giovanni Berselli

E-Mail Website
Guest Editor
Department of Mechanical, Energy, Management and Transportation Engineering, University of Genova, 16145 Genova, Italy
Interests: compliant mechanisms; smart-material-based transducers; variable stiffness actuators
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computer-Aided Design (CAD), Engineering (CAE), and Manufacturing (CAM) software have unquestionably become essential tools for product design. CAD/CAE/CAM technologies are extensively used in several fields, including aerospace, automotive, earth-moving machines, and automated plants. Virtual prototypes can simulate mechanical and mechatronic systems, starting from the geometrical and parametric representation of parts, the study of complex devices during their motion (i.e., multibody analysis), the verification and, possibly, the optimization of their structural behavior (stresses and deformations), up to the simulation of the overall production process (digital factory). In the current literature, it is claimed that modern CAD/CAE/CAM may become so advanced that it will be possible to emulate complex systems with a degree of reliability comparable to physical testing. This Special Issue aims at providing an opportunity for researchers within academia and industry to share recent advances in the field, with special attention to algorithms and methodologies allowing integration of software tools from different domains (e.g., multi-body modeling, co-simulation frameworks, digital factory tools).

Prof. Dr. Giovanni Berselli
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CAD/CAM/CAE applications and algorithms
  • Advanced algorithms for geometric modeling
  • Integration of CAD/CAE methods and tools into engineering design processes
  • CAE-centric design approaches
  • Applications of flexible multi-body dynamics tools
  • Virtual prototyping (VP) for complex products
  • CAD/CAE methods and tools for multi-disciplinary and cooperative design

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Published Papers (3 papers)

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Research

19 pages, 7098 KiB  
Article
Path Planning for Laser Cladding Robot on Artificial Joint Surface Based on Topology Reconstruction
by Yuanjin Li, Tao Chen and Defu Liu
Algorithms 2020, 13(4), 93; https://doi.org/10.3390/a13040093 - 15 Apr 2020
Cited by 14 | Viewed by 4224
Abstract
Artificial joint surface coating is a hot issue in the interdisciplinary fields of manufacturing, materials and biomedicine. Due to the complex surface characteristics of artificial joints, there are some problems with efficiency and precision in automatic cladding path planning for coating fabrication. In [...] Read more.
Artificial joint surface coating is a hot issue in the interdisciplinary fields of manufacturing, materials and biomedicine. Due to the complex surface characteristics of artificial joints, there are some problems with efficiency and precision in automatic cladding path planning for coating fabrication. In this study, a path planning method for a laser cladding robot for artificial joints surface was proposed. The key of this method was the topological reconstruction of the artificial joint surface. On the basis of the topological relation, a set of parallel planes were used to intersect the CAD model to generate a set of continuous, directed and equidistant surface transversals on the artificial joint surface. The arch height error method was used to extract robot interpolation points from surface transversal lines according to machining accuracy requirements. The coordinates and normal vectors of interpolation points were used to calculate the position and pose of the robot tool center point (TCP). To ensure that the laser beam was always perpendicular to the artificial joint surface, a novel laser cladding set-up with a robot was designed, of which the joint part clamped by a six-axis robot moved while the laser head was fixed on the workbench. The proposed methodology was validated with the planned path on the surface of an artificial acetabular cup using simulation and experimentation via an industrial NACHI robot. The results indicated that the path planning method based on topological reconstruction was feasible and more efficient than the traditional robot teaching method. Full article
(This article belongs to the Special Issue Algorithms for Computer-Aided Design)
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25 pages, 2364 KiB  
Article
Algebraic Point Projection for Immersed Boundary Analysis on Low Degree NURBS Curves and Surfaces
by Huanyu Liao, Pavan Kumar Vaitheeswaran, Tao Song and Ganesh Subbarayan
Algorithms 2020, 13(4), 82; https://doi.org/10.3390/a13040082 - 31 Mar 2020
Cited by 4 | Viewed by 4489
Abstract
Point projection is an important geometric need when boundaries described by parametric curves and surfaces are immersed in domains. In problems where an immersed parametric boundary evolves with time as in solidification or fracture analysis, the projection from a point in the domain [...] Read more.
Point projection is an important geometric need when boundaries described by parametric curves and surfaces are immersed in domains. In problems where an immersed parametric boundary evolves with time as in solidification or fracture analysis, the projection from a point in the domain to the boundary is necessary to determine the interaction of the moving boundary with the underlying domain approximation. Furthermore, during analysis, since the driving force behind interface evolution depends on locally computed curvatures and normals, it is ideal if the parametric entity is not approximated as piecewise-linear. To address this challenge, we present in this paper an algebraic procedure to project a point on to Non-uniform rational B-spline (NURBS) curves and surfaces. The developed technique utilizes the resultant theory to construct implicit forms of parametric Bézier patches, level sets of which are termed algebraic level sets (ALS). Boolean compositions of the algebraic level sets are carried out using the theory of R-functions. The algebraic level sets and their gradients at a given point on the domain are then used to project the point onto the immersed boundary. Beginning with a first-order algorithm, sequentially refined procedures culminating in a second-order projection algorithm are described for NURBS curves and surfaces. Examples are presented to illustrate the efficiency and robustness of the developed method. More importantly, the method is shown to be robust and able to generate valid solutions even for curves and surfaces with high local curvature or G 0 continuity—problems where the Newton–Raphson method fails due to discontinuity in the projected points or because the numerical iterations fail to converge to a solution, respectively. Full article
(This article belongs to the Special Issue Algorithms for Computer-Aided Design)
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12 pages, 1934 KiB  
Article
Breast Microcalcification Detection Algorithm Based on Contourlet and ASVM
by Sheng Cai, Pei-Zhong Liu, Yan-Min Luo, Yong-Zhao Du and Jia-Neng Tang
Algorithms 2019, 12(7), 135; https://doi.org/10.3390/a12070135 - 30 Jun 2019
Cited by 4 | Viewed by 7421
Abstract
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis. The present study proposes an algorithm for [...] Read more.
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis. The present study proposes an algorithm for detecting microcalcification on mammography for early breast cancer. Firstly, the contrast characteristics of mammograms are enhanced by Contourlet transformation and morphology (CTM). Secondly, split the ROI by the improved K-means algorithm. Thirdly, calculate grayscale feature, shape feature, and Histogram of Oriented Gradient (HOG) for the ROI region. The Adaptive support vector machine (ASVM) is used as a tool to classify the rough calcification point and the false calcification point. Under the guidance of a professional doctor, 280 normal images and 120 calcification images were selected for experimentation, of which 210 normal images and 90 images with calcification images were used for training classification. The remaining 100 are used to test the algorithm. It is found that the accuracy of the automatic classification results of the Adaptive support vector machine (ASVM) algorithm reaches 94%, and the experimental results are superior to similar algorithms. The algorithm overcomes various difficulties in microcalcification detection and has great clinical application value. Full article
(This article belongs to the Special Issue Algorithms for Computer-Aided Design)
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