Automating 1D CAE for Product Design Validation

Problem Statement

Manufacturers face mounting pressure to accelerate product design validation, cut costs, and reduce reliance on physical prototyping. Traditional workflows involve lengthy, manual creation of CAE diagrams, requiring niche expertise and weeks of effort. This slows down early-stage testing, increases costs, and limits visibility into performance. A simulation-first approach with 1D CAE automates diagram generation, enables rapid multi-scenario exploration, and integrates AI/ML for faster iterations. The result is reduced validation time, lower costs, and scalable design processes that deliver products to market faster with greater reliability.

Solution

Tata Elxsi’s 1D CAE simulation-first workflows are specifically designed to reduce validation cycles, minimize physical prototyping, and accelerate product development. These solutions integrate advanced AI/ML techniques with engineering automation to transform traditional design validation into a scalable, digital-first process:

• AI-Driven Simulation – Automated generation of CAE block diagrams from minimal user input.
• Multi-Domain Modeling – Capturing thermal  and electrical interactions for early-stage evaluation.
• Reusable Libraries – Parametric models for faster and consistent design iterations.
• Automated Workflows – Rule-based and data-driven decisions that streamline validation.

Tata Elxsi’s solution enables automation at scale, helping product developers reduce time-to-market, cut costs, and enhance design reliability across use cases such as:

• Virtual Prototyping – Early validation of designs without costly hardware builds.
• Design Efficiency – Faster iterations across multiple product configurations.
• Operational Agility – Scalable workflows adaptable to product lines.
• Engineering Innovation – AI-augmented design cycles that future-proof product development.

Impact

• Speed & Efficiency – Validation cycles reduced by 30-40% through automated 1D CAE workflows.
• Accuracy & Reliability – Early-stage design performance assessed with consistent, simulation-driven insights.
• Error Reduction – Reduced dependency on manual prototyping minimized rework and design errors.
• Cost Savings – Up to 30% savings achieved by cutting redundant tests and physical iterations.

Services Rendered

• AI/ML-Driven Simulation Workflows
• Multi-Domain System Modelling
• Automated Diagram Generation
• Virtual Prototyping & Early Design Exploration
• Design Validation Acceleration