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PIAnO Signature

It is an AI-aided multidisciplinary design optimization software that systematically combines AIDesigner with PIAnO (Process Integration, Automation, and Optimization). The AI-Aided Design Optimization (AADO) process is implemented as a way of democratization of design optimization (DoDO) beyond the democratization of engineering simulation (DoES). The AADO process autonomously and automatically providegenerates the designer-oriented design outcome report in Excel once parametric engineering simulation models have been supplied.

Function

  • Process Integration and Automation

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      Integrate and automate the process of evaluating performance indices in design requirements for a given design point

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      Multiple CAE tools and various scripts, such as Excel, Matlab, and Python, may be employed in the process

  • Design Problem Analytics

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      Provides the relationship between design variables and responses of interest

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      Quantifies the effect of design variables on the response of interest

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      Utilizes parametric study, design sensitivity analysis, and/or design of experiments

  • Modeling and Assessment of Uuncertainty

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      Models the input uncertainty from a probabilistic point of view when uncertainties of input variables are not specified
      Assesses the propagated uncertainty of a response of interest when uncertainties of input variables are specified

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      Quantifies and visualizes the propagated uncertainty in terms of sigma value and/or reliability

  • Metamodelling

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      Generates a prediction model for the provided labeled data

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      Provides the best metamodel autonomously decided by AI

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      Makes use of various statistical and machine learning techniques

  • Design Optimization

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      Produces automatically the optimal design variable values that minimize/maximize the objective function(s) while satisfying all design constraints

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      Provides effective optimization algorithms suited for the type of design problems including discrete optimization problems and multi-objective optimization problems

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      Offers several unique, original, and efficient optimization algorithms of our own

  • Data Analytics and Visualization

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      Provides tools for various data analytics and intuitive visualization

  • Automatic Generation of Comprehensive Design Outcome Reports

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      Generates automatically and autonomously the comprehensive design outcome report in a transparent way from the designer’s perspective

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      Utilizes effective data storytelling to help designers easily understand the design results and get insight from the report

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      Includes design optimization results, contribution analysis, trade-off analysis, and design sensitivity analysis

PIAnO Signature Process

Benefits

PIAnO Signature

  • It is easy to use and can be used in the field, and can be easily referenced by the design department

  • Efficient time distribution with automated processes even for expensive analysis

  • The generated comprehensive report enables high-level design and research paper writing

  • The perfection of product development is improved with the techniques recommended by AI platform, Bruce.

Application Cases

  • Car Body

    • Design Problem

      Optimal design of material arrangement that minimizes the weight of the BMW vehicles while satisfying all design conditions for static stiffness

    • Result

      Optimal design of material arrangement that minimizes the weight of the BMW vehicles while satisfying all design conditions for static stiffness

  • Drum Washer Suspension System

    • Design Problem

      Optimal design that minimizes deformation while satisfying all design conditions for vibration

    • Result

      Succeeded in reducing the level of deformation by 33% while satisfying all design conditions for vibration.

  • Torsion Beam Axle

    • Design Problem

      Optimal shape of design that maximizes durability while satisfying all K&C design conditions

    • Result

      Succeeded in improving durability by 56% while satisfying all K&C design conditions

  • Air-Conditioner Piping System

    • Design Problem

      Optimal shape of design that minimizes weight while satisfying all design conditions for strength, fatigue and vibration

    • Result

      Succeeded in reducing the weight by 18% while satisfying all design conditions for strength, fatigue and vibration