Robust Design Engineering Workshop by Tonex
The Robust Design Engineering Workshop by Tonex offers a comprehensive exploration of robust design principles, focusing on enhancing product reliability and performance. Participants will gain valuable insights into methodologies, tools, and techniques for creating resilient designs in diverse engineering domains.
This Workshop by Tonex provides a dynamic and in-depth exploration of robust design principles essential for engineers and professionals. This comprehensive course delves into strategies for optimizing product reliability and performance by addressing sources of variation. Participants gain expertise in statistical tools, design optimization techniques, and reliability-centered design strategies.
The course equips learners with practical skills through hands-on exercises and real-world case studies, fostering a deep understanding of robust design applications. Tailored for engineers, designers, and product development professionals, this workshop enhances problem-solving capabilities and empowers participants to create resilient designs in diverse engineering domains.
Learning Objectives:
- Understand the fundamentals of robust design engineering.
- Learn how to identify and mitigate sources of variation in the design process.
- Acquire skills in utilizing statistical tools for robust design optimization.
- Explore techniques for reliability-centered design and performance improvement.
- Apply robust design principles to real-world engineering challenges.
- Enhance problem-solving abilities through hands-on exercises and case studies.
Audience: Engineers, designers, and professionals involved in product development and engineering processes seeking to optimize designs for robustness and reliability.
Pre-requisite: None
Course Outline:
Module 1: Introduction to Robust Design
- Definition and Significance
- Key Principles and Objectives
- Relationship with Product Reliability
- Overview of Industry Applications
- Historical Perspectives
- Case Studies on Successful Implementations
Module 2: Variation Analysis
- Identifying Sources of Variation
- Statistical Tools for Variation Analysis
- Sensitivity Analysis
- Factorial Experiments
- Control Factors and Noise Factors
- Case Studies on Variation Reduction
Module 3: Optimization Techniques
- Design of Experiments (DOE) for Robustness
- Response Surface Methodology (RSM)
- Optimization Algorithms
- Genetic Algorithms in Design Optimization
- Taguchi Methods for Parameter Design
- Case Studies on Optimization Successes
Module 4: Reliability-Centered Design
- Strategies for Enhancing Reliability
- Failure Mode and Effects Analysis (FMEA)
- Reliability Block Diagrams
- Weibull Analysis
- Accelerated Life Testing
- Case Studies on Reliability-Centered Design
Module 5: Performance Improvement
- Design for Six Sigma (DFSS) Principles
- Process Capability Analysis
- Statistical Tolerance Analysis
- Design Robustness Index (DRI)
- Design Verification and Validation
- Case Studies on Performance Enhancement
Module 6: Application of Robust Design
- Real-World Case Studies
- Hands-on Exercises for Practical Implementation
- Industry-specific Applications
- Implementing Robust Design in Agile Environments
- Monitoring and Continuous Improvement
- Integration with Product Lifecycle Management (PLM)