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iSIGHT Applications in Electronics Industry

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Presentation on theme: "iSIGHT Applications in Electronics Industry"— Presentation transcript:

1 iSIGHT Applications in Electronics Industry

2 iSIGHT Customers in Electronics
Advanced Institute of   Technology and Science(J) Aisin Black & Decker Canon Delphi Packard Electric Denso Emerson Motor Fuji XEROX Fujitsu General Electric Hitachi Kyocera Matsushita/Panasonic Mitsubishi Electric Motorola NEC Ricoh Samsung Sanyo Sharp Sony Toshiba XEROX etc.

3 Applications in Electronics Industry
Heat Exchange Unit Optimization Halogen-IR Lamp Design Space Power Converter Weight Reduction 3D Coil and Magnetic Field for controlling Deflection Yoke of CRT 3D Coil and Magnetic Field for controlling Electron Beam Orbit of Flat TV Rubber Switch Optimization Latch Bracket Shape Optimization Plastic Injection Molding Optimization Plastic Injection - Structure Analysis MDO Semiconductor Circuit Design Optimization LCD Circuit Design Optimization Robust Design for coating materials of semiconductor ECU Design & Controlling Optimization Refrigerator Internal Flow for minimizing Electric Power Consumption Air Conditioning System Optimization Vacuum Cleaner Intake Mechanism for maximum Inhalation with minimum Electric Power Consumption No Exhaust Vacuum Cleaner Laundry Machine Structure for minimizing Vibration and Noise IH Rice Cooker Magnetic Field Optimization

4 Automation & Integration of EDA Process in Semiconductor Design
Simulation Shape Simulation Functionality Simulation Mask Layout Logic Synthesis Device Simulation Latency Information Logic Simulation IC Test Parameter of Device Characteristics Failure Information Circuit Simulation Failure Simulation Failure Analysis Failure Dictionary Mask Layout & Testing Device Design IC Design

5 Automation & Integration of EDA Process in System Design
Automation/Integration/Optimization Analog Simulation Digital Simulation Prototype Test Software Design PCB Positioning & Wiring Physical System Test Failure Information Reliability Testing I/O Design Failure Analysis PCB Design System Design & Testing

6 Hitachi Semiconductor Group:
   Robust Design of MOS Devices:DOE based TCAD Simulation Objective Yield Improvement Time Reduction of New Devices TCAD Calibration Requiring Robust Design of MOS Prototyping Robust Design Issues Requiring Multi Variables Optimization Error Factor Compounding DOE Process Calibration of Device Simulator Robust Design of MOS Devices Parametric Optimization Design Environment of MOS Devices Design Improvement Threshold Voltage (Vth) Deviation > SN Ratio Improvement: 25.7db --> 34.6db 0.03 Design Cycle Reduction 3 Month (Traditional Method) --> 3 Weeks (Manual DOE/Taguchi Method) --> 3 Days (Automated DOE and Optimization by iSIGHT)

7 MOS Device Concept(NMOS ) Process Device Simulation
Hitachi Semiconductor Group: Robust Design of MOS Devices:DOE based TCAD Simulation Gate Electrode Drain Electrode Source Electrode N N Id P Si Board MOS Device Concept(NMOS ) Model Parameter Model Parameter (Process) (Device) Impurities Distribution Device Simulation Device Characteristics Process Simulation Process Flow  Process Device Simulation

8 SAIT (Samsung Advanced Institute & Technology)
■ MEMS Switching Device Design Problem Definition 4 D.V.s for the membrane geometry Must consider unwanted effects in manufacturing process Minimize the actuation voltage of switch and maximize the recovery force Highly non-linear property in relation between voltage and gap Switch On Switch Off

9 SAIT (Samsung Advanced Institute & Technology)
■ Process to Design Maintask Input 4 geometric design variables to Ansys for modeling This model is provided for analysis of actuation voltage Subtask From the geometry model and unwanted effects data, Abaqus and in-house codes calculate the gap based on the voltage input and check the membrane is contacted or not. Due to the long running of Abaqus the actuation voltage must be found under 10 iterations in subtask by applying an optimization algorithm in a program. Traditional gradient based optimization algorithms do not work because it’s very highly non-linear.

10 SAIT (Samsung Advanced Institute & Technology)
■ Simulation of problem Made simple simulation model of the actuation voltage problem by using Excel Interface Hooke-Jeeves algorithm is good for this problem

11 SAIT (Samsung Advanced Institute & Technology)
■ RSM Model Built RSM model by applying DOE in main task and finding the actuation voltage in subtask Tried to find minimized value Tried to analyze uncertainties in manufacturing process by applying MCS for the minima


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