Hot Forging Preform Geometry Optimization for Single-Stage Presses

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Solution Overview

Problem

Existing preform design techniques for single stage hot forging of metals are complex and iterative due to the need to balance geometry, grain size distribution, and forging press compatibility, often optimizing only some parameters while ignoring others, and are not suited for single stage processes.

Innovation Solution

A method and system using a multi-objective optimization technique, such as NSGA-II, to iteratively generate preform designs by computing fitness values based on geometry, grain size, and force, ensuring alignment with hot forging press capabilities and minimizing defects like underfilling and excessive flash.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If existing preform design techniques are used, then some parameters (geometry) are optimized, but other parameters (material properties, forging press parameters, grain size) are ignored

Engineering Contradiction:
Improvepreform geometry precisionVSAvoidcomprehensive parameter optimization
Core Design Contradiction:
Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal preform design system that simultaneously optimizes multiple parameters including geometry, material properties, grain size distribution, and forging press parameters through a unified multi-objective optimization framework, making the system adaptable to various product types and process requirements

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Manufacturing precision

If multi-stage hot forging process is used, then preform design can be optimized, but production time increases

Engineering Contradiction:
Improvepreform design qualityVSAvoidproduction time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent performs comprehensive preform design optimization in advance using computational multi-objective optimization, determining the optimal preform geometry and parameters before the actual single-stage hot forging process, thereby achieving high-quality results without requiring multiple forging stages

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent transforms the preform design from a geometric-only optimization to a multi-parameter optimization including material properties, grain size, and process parameters, enabling single-stage forging to achieve results previously requiring multi-stage processes

Inventive Principle:
Principle #35Parameter changes

3Manufacturing precision

If preform geometry is optimized for quality, then defects are reduced, but geometrical complexity increases

Engineering Contradiction:
Improvedefect reductionVSAvoidpreform geometrical complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent optimizes multiple parameters simultaneously including geometry, material properties, and process parameters through multi-objective optimization, finding a balanced solution that reduces defects while maintaining reasonable geometrical complexity by distributing optimization across multiple dimensions

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20260061481A1Method and system of generating preform design for single stage hot forging of metals
Publication Date: 2026.03.05 TATA CONSULTANCY SERVICES LTD
  • US20260061481A1 patent drawing
  • US20260061481A1 patent drawing
  • US20260061481A1 patent drawing

AI summary

Preform design is a crucial step in hot forging of metals. Embodiments of present disclosure provide a method and system of generating preform design for single stage hot forging of metals. The method optimizes the preform geometry using three key aspects: geometry, grain size, and forging force by a multi-objective optimization technique. Initially, parameters of a preform of a product and a single stage hot forging press are obtained which are used to generate initial set of geometric variations of the preform using a multi-objective optimization technique. This set is refined iteratively for a predefined number of iterations. At each iteration, a fitness value associated with each geometric variation is computed based on geometry, grain size, and force fitness value, and a new set of geometric variations are generated based on the fitness value which is used in the next iteration.