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INTRODUCTION to Hideki AOYAMA Lab. Research Fields. Digital Design Systems Digital Style (Aesthetic) Design CAD (Computer Aided Design) Digital Manufacturing Systems CAM (Computer Aided Manufacturing) Product Process Analysis Others. Digital Style (Aesthetic) Design. Physical Model.
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Research Fields • Digital Design Systems • Digital Style (Aesthetic) Design • CAD (Computer Aided Design) • Digital Manufacturing Systems • CAM (Computer Aided Manufacturing) • Product Process Analysis • Others
Physical Model Concept Designer and Modeler Designer Idea Sketch Computer Model Engineer Designer Current Aesthetic Design Processes Measurement process (Reverse Eng.)
Concept Idea Designer or Engineer Designer or Engineer ProposedAesthetic Design Processes Re-Modeling by Highlight Lines and Characteristic Lines Engineer Evaluation Proposition Data-Base Modeling from Sketch Modeling by Virtual Clay Model system Modeling from Rough Physical Model Modeling from Kansei Language Modeling from silhouette Lines
Chair Design System from Sketch Evaluation of Structural Stability Digital human model Evaluation of Comfortable sitting Sketch 3D Model
Virtual Clay Modeling System User Interfaces System 3D Glasses Output Computer for execute the application Virtual Tool Position & Orientation Force feedback device Position & Orientation Force Force Computer for control the hardware Input Virtual Hand Finger Joints Angles Data Glove Position & Orientation Position tracker
Devices forVirtual Clay Modeling System Head Mounted Display Data groves Force Feed Back Device
Style (Aesthetic) Design Based on KANSEI Language This system constructs a form of a designed product by using the Kansei language. What is the Kansei language? • Kansei language expresses human’s feeling or sense. Procedure to construct form from Kansei Language • Lamsei Languages are transformed into the factor coefficients by the factor analysis. • Form parameters are derived from the factor coefficients by a neural network
A Result of Modeling by KANSEI Language Kansei Languages Cute Sporty Sort Formal Casual Spacious Powerful Stable Luxurious Un-tired 3points5 points3 points3 points3 points3 points3 points3 points3 points3 points Result
Characteristic Line Modeling System Based on Characteristic Lines What are Characteristic Lines? Characteristic lines are the base lines of the form to directly characterize the product image.
Type A Type C Modeling System Based on Characteristic Lines Objective of This Study To develop a system to construct more desired 3D car models from a basic model by characteristic lines. characteristic line Type B
Modeling SystemBased on High-Light Lines • What is the high-light lines? • Reflecting lines of fluorescent lights • Most important parameter expressing form impression High-light lines on a CAD model High-light lines on a physical model • Objective: • Development of a system to construct a computer model from highlight lines.
Results of ModelingBased on High Light Lines Before Processing After Processing Curvature
Modeling System Based on Silhouette lines objective To develop a system to construct the 3-D model of an automobile from the silhouette lines and boundary lines. ・ External form design is creative activity depending on designer’s sensibility. ・ Designers often get the idea of a designing product form as silhouette lines and boundary lines .
Front window line Rear window line Roof line Shoulder line Face line Tail line Base line What’s Silhouette Line? Silhouette Lines MAZDARX-8
What’s Boundary Line? Boundary Lines MAZDARX-8
top side front back Flow of developed system Input silhouette and boundary lines Construction of basic surfaces Construction of connectingsurfaces
top side front back Input Silhouette Lines
Off-line Robot Teaching System Using VR Devices Determination of Optimum Welding Path by Genetic Algorithm
Estimated cutting force [N] Rotation Angle [°] Advanced CAM System Estimation of Cutting Force Cutting Tool Diameter : 15(mm) Workpiece: Carbon steel Rotating speed: 1,000(rpm) Feed rate: 0.1(mm/tooth) Depth of cut in axial direction : 10(mm) Depth of cut in radial direction : 2(mm)
workpiece : S55C tool : φ10mm square endmill spindle speed : 2000 rpm Radial depth of cut : 3 mm axial depth of cut : 2mm Permissible cutting force : 1200 N Advanced CAM System Method to determine the optimum feed rate maximum feed rate under permissible cutting force optimum feed rate
Advanced CAM System Result of calculating the optimun feed rate • before modification after modification Calculated cutting force Radial depth of cut : 2.0 mm Axial depth of cut : 4.0 mm Spindle speed : 2300 rpm Workpiece : S55C Tool : 2 flute ball-endmill (f10 mm) Measured cutting force
Advanced CAM System 100 mm Goal point (0,100) fixturing point A fixturing point D Workpiece C(90,90) mm B(30,80) Tool 100 A(30,20) fixturing point C Y fixturing point B D(90,10) Starting point (0,0) Z X Optimum fixturing force Radial depth of cut : 2.0 mm Fa 2105 N Axial depth of cut : 3.0 mm Fb 1971 N Spindle speed : 1500 rpm Fc 1399 N Workpiece : S55C, feed rate : 0.06 mm/rev Fd 1803 N Tool : 2 flute square-endmill (f10 mm)
Analyzed NC data Extracted know-how Data base Personal computer NC Machine Tool Management of Machine Tools with Internet and Construction Know-how Data-Base of Skilled Workers Management Commands Network Parameters from NC Controler The objective is to develop a system to manage the machine tools with the internet and the open technology of the NC control device, and to construct know-how data base of skilled workers by analysis their operations.
y Coil N Coil W Coil E Coil S x Sensor shank Ferromagnetic film Sensor Structure Development of Sensor to detect Cutting Force Components, Cutting Torque, and Tool Deformation Developed Sensor
Flow Analysis for Injection Molding (Thixomolding) of Magnesium Alloy Based on FEM Recently, Mg alloy products are widely used for notebook-type personal computers, portable MDs, etc. because of easy recycling and rich resource. But the injection molding technology for Mg alloy has not been established yet. Die design and injecting conditions are determined by try-and-errors. The objective of this research is to obtain optimum die design and injecting conditions by computer simulation. model result