AI-Powered Tolerance Modeling for Electrical Controllers

AI-Powered Tolerance Modeling: From Weeks to Minutes

Creating a tolerance simulation model is essential yet time-consuming—manual setup of features, assemblies, tolerances, and measurements often takes days or weeks.

Now, DiTuointegrates AI to fully automate the process, delivering faster, standardized models and dramatically boosting efficiency.

Precision Cooling in Electronic Controllers
As the “brains” of rockets, aircraft, and high-speed trains, electronic controllers must stay cool. Hundreds of motherboard components need to be positioned close enough to the cooling plate for heat transfer—but not so close as to cause interference. Factoring in manufacturing deviations makes this a complex challenge.

While DTAS 3D enables early-stage validation, manually modeling hundreds of components can take 10–15 days.

Solution: AI-Driven Automation
This case shows how DTAS 3D uses AI to automate tolerance modeling—turning weeks of work into minutes.


AI-Powered Tolerance Modeling for Electrical Controllers

Part 1: Model Overview

This case analyzes an electrical control box (shown above) with housing, supports, plates, and mounted components. To ensure proper cooling during operation, clearances between components, plates, and housing must stay within 0.7–0.9 mm.

Case Scale:

In real applications, control boxes contain hundreds of components—making manual modeling tedious and often taking days or weeks.

AI‑Driven Efficiency:

Assembly Process Flow


DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers

Part tolerances


DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers


Measurement target


DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers


PART 2 Automatic Modeling Steps

Start Automatic Modeling

Step 1: Select the main parts in the assembly

DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers

Step 2: Select the support pillars in the assembly

DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers

Step 3: Define the coordinate system


DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers


Step 4: Select the measuring piece


DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers


Modeling Complete


After the above simple operations, the relevant features, tolerances, assembly, and measurements have been established, and the user can directly submit the calculation.


DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers


Calculation results


DTAS3D Dimensional Tolerance Analysis Software: Case Study of AI-Powered Automatic Modeling of Electrical Controllers


PART 3 Results Presentation


AI‑Driven Modeling in DTAS 3D

DTAS 3D automates tolerance model creation—transforming manual feature, assembly, tolerance, and measurement setup into an AI‑powered workflow. This reduces modeling time by over 80%, letting engineers focus on innovation.


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