Vision & Mission

To democratize the use of Finite Element Analysis (FEA), fatigue design, and fracture mechanics by developing practical, accessible, and engineering-focused solutions that help every mechanical engineer solve critical structural problems with confidence

Mission
Vision

To make simulation-driven engineering a fundamental part of every mechanical engineer's design process, enabling engineers to predict structural performance, fatigue life, and failure before products reach the physical world..

Computer Aided Engneering
Computer Aided Engneering
Fracture Mechanics
Fracture Mechanics

e Design paradigm Approach

The e-Design paradigm represents a modern approach to product development that brings together concurrent engineering, knowledge-based engineering, virtual prototyping, and physical prototyping within a systematic and quantitative framework for engineering decision-making. Its primary objective is to enable engineers to evaluate design alternatives early in the product development cycle, when changes can be made quickly, effectively, and at significantly lower cost.

Unlike conventional product development approaches, where analysis and validation are often performed after the design has substantially matured, the e-Design paradigm integrates engineering analysis and simulation from the beginning. It creates a collaborative environment in which design, engineering, analysis, manufacturing, and validation activities can be performed concurrently. This enables engineering teams to understand product behaviour, identify potential design issues, evaluate alternatives, and optimize performance before committing significant resources to detailed design and physical prototypes.

Knowledge Based Engineering
Knowledge Based Engineering

Courtesy of e-Design: Computer-Aided Engineering Design by author Kuang-Hua Chang

The e-Design paradigm consists of three fundamental and interconnected components: Knowledge-Based Engineering (KBE), Virtual Prototyping, and Physical Prototyping.

Knowledge-Based Engineering captures engineering knowledge, design rules, best practices, constraints, and organizational experience and makes them available within the product development process. This helps automate repetitive engineering activities, standardize design practices, and accelerate the generation and evaluation of design alternatives.

Virtual Prototyping uses Computer Aided Engineering (CAE), Finite Element Analysis (FEA), computational simulation, and digital models to predict product performance under realistic operating conditions. Engineers can evaluate structural behaviour, stress, deformation, fatigue, durability, vibration, thermal performance, and other critical characteristics without immediately building a physical prototype.

Physical Prototyping complements virtual methods by providing experimental validation and real-world performance data. The results from physical testing can be correlated with simulation models, improving their accuracy and increasing confidence in subsequent virtual evaluations.

Why follow e design paradigm approach

The e-Design paradigm therefore enables organizations to develop products that are faster, more reliable, cost-effective, optimized, and better validated, while reducing development risk and dependence on extensive physical prototyping.