Philip Azariadis

3D Mesh Segmentation Methodologies for CAD applications

D mesh segmentation is a fundamental process for Digital Shape Reconstruction in a variety of applications including Reverse Engineering, Medical Imaging, etc. It is used to provide a high level representation of the raw 3D data which is required for CAD, CAM and CAE. In this paper, we present an exhaustive overview of 3D mesh segmentation methodologies examining their suitability for CAD models. In particular, a classification of the various methods is given based on their corresponding underlying fundamental methodology concept as well as on the distinct criteria and features used in the segmentation process.

A new methodology for the development of sizing systems for the mass customization of garments

Purpose – The purpose of this paper is to derive a new method for developing sizing systems for the mass customization of garments.Design/methodology/approach – A range of recently published works has been studied. A new method is derived by following a basic statistical analysis on anthropometric data which are supported by an iterative mass customization model and introduced “satisfaction performance” indices. The derived method is applied successfully to an anthropometric data consisting of 12,810 Greek men.Findings – With the proposed method, it is possible to control the degree of mass customization and the corresponding number of garment sizes. Under this way, a balance between the number of sizes (in other words: production cost) and the percentage satisfaction of consumers can be achieved. The proposed method consists of six subsequent tasks which are applied to the target population data for the development of mass customization models for male shirts, coats and trousers.Research limitations/impl...

Virtual Shoe Test Bed: A Computer-Aided Engineering Tool for Supporting Shoe Design

This paper introduces an innovative Computer-Aided Engineering (CAE) system called Virtual Shoe Test Bed (VSTB) for supporting the development of new shoe designs. The proposed system includes functional design criteria for the different shoe elements in order to support the definition of the best solution for each product based on user needs and preferences. This is achieved by simulating physical tests which predict the interaction between shoe and user in order to obtain an estimation of several performance ratings without the necessity to manufacture and validate physical prototypes. The paper presents all functional criteria simulated in VSTB which provide a unique framework for supporting shoe design from the engineering point of view.

Energy-Minimizing Motion Design for Nonholonomic Robots Amidst Moving Obstacles

AbstractIn this paper, a new method is introduced for computing energy-minimizing motions in twodimensional environments cluttered with a priori known static and moving obstacles. The proposed method is based on a new four-dimensional motion-planning space represented by a Bump- Surface embedded in ℜ4. The energy-minimizing motion-design problem is expressed by a variational curve-design problem on the introduced Bump-Surface. The optimal motion is determined by a new algorithm for computing a B-spline curve on the Bump-Surface which is conformal to the motion-planning constrains. The proposed method is applied for designing the motion of nonholonomic robots in the presence of moving obstacles and its performance is tested in simulated 2D dynamic environments with car-like robots.

An innovative virtual-engineering system for supporting integrated footwear design

This paper presents a new virtual-engineering platform, called as virtual shoe test bed (VSTB), for supporting the design of footwear from the engineering point of view. The proposed VSTB system includes various functional design criteria in order to support the definition of the best solution for each product utilising scenarios based on user needs and preferences. Using the proposed virtual-engineering system a designer is able to simulate the behaviour of footwear components and the interaction between shoe and user in order to derive a predictive estimation of the fitting, thermal comfort and performance ratings without the necessity to manufacture and validate physical prototypes. The present paper describes the architecture, the tests implemented in the final system along with corresponding lab experiments conducted in terms of industrial validation. All results and hints for future research are reported and discussed.

Collaborative CAD/CAE as a cloud service

These days manufacturing and design teams continuously collaborate with colleagues across traditional office boundaries and manufacturing floors in an effort to meet with growing demand and competi...

Towards a Foot Bio-model for Performing Finite Element Analysis for Footwear Design Optimization using a Cloud Infrastructure

ABSTRACTThis paper presents current research results that concern the generation of foot bio-models for performing finite element analysis for footwear design evaluation and optimization. The foot bio-models produced so far include complete geometric models of the foot bones along with their corresponding material properties. For the generation of the bones geometry a dense set of CT scan data is utilized. Four different approaches for the reconstruction of the corresponding 3D surfaces are presented and discussed. A preliminary FE analysis for simulating foot/ground interaction has been carried out to assert the performance of the chosen material type and properties. Finally, a cloud infrastructure is introduced to provide to the end-users a web-based interface for performing simulation scenarios concerning foot/footwear and foot/ground interaction.

Time Optimum Motion Planning for a Set of Car-Like Robots

Abstract This paper presents a global solution for simultaneously planning of time optimum motions for a set of car-like robots, which are moving on a two-dimensional general terrain. The method obtains the geometric paths and vehicles speeds that simultaneously minimize motion time for all the robots, considering robots’ kinodynamics (kinematic and dynamic constraints) and terrain geometry (terrain topography and obstacles). The proposed method is based on the Bump-Surface concept where the robots’ environment is represented by a higher dimension B-Spline surface and the robots’ paths consist of B-Spline curves mapped to the initial robots’ environment. A global optimization problem is then formulated considering simultaneously the optimal time motion and path planning between the obstacles for all the robots. The performance of the proposed method is investigated and discussed through simulated experiments.

3D reconstruction of skeletal mesh models and human foot biomodel generation using semantic parametric-based deformation

ABSTRACT This paper introduces two methodologies for the reconstruction of skeletal mesh models and for the generation of parametric bone models of the human foot. First, a new Parametric-Based Deformation methodology is presented, which deforms a template 3D mesh according to user-defined semantic parameters in order to derive a new bone model. The proposed method allows the parameterization of dense and detailed 3D meshes of human foot bones. An extensive evaluation is performed to examine the accuracy, quality, and performance of the proposed method with human and animal bones, and versus existing statistical-based methods in the literature. Also, a novel methodology is proposed for the generation of parametric bone models of the human foot using non-calibrated biplanar X-rays. The proposed method has been applied for the production of detail 3D foot biomodels from an initial template biomodel and has been evaluated using human and animal bones.

Optimal Task Placement in a Metamorphic Manipulator Workspace in the Presence of Obstacles

The optimization of the task placement as well as the anatomy of a metamorphic manipulator in the presence of obstacles is presented. The rigid links of the metamorphic manipulator and the obstacles are represented using point clouds. An optimization problem is formulated, where the minimum manipulability index is maximized deriving a collision-free path using a genetic algorithm. A 3 DoF metamorphic manipulator is used as a case study.