The chemical reaction of process synergy: The effect of stamping and machining

Date: 2025-11-30

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In the field of precision manufacturing, a single stamping or machining technology is already powerful enough, but when the two are deeply integrated and work in coordination, the value generated far exceeds the simple addition. The integrated manufacturing model of Dongguan Zhongchuangxing Precision Machinery Manufacturing Co., Ltd. is a perfect interpretation of this "1+1>2" effect.

The physical principles and technical logic of synergy effects

Understand the essence of process collaboration

Limitations of traditional thinking

Most enterprises treat stamping and machining as independent processes, which leads to:

Design compromise: To ensure that both processes can be realized, the design requirements have to be lowered

Cost increase: Additional clamping, positioning and inspection procedures

Quality risk: Damage and contamination caused by the transfer between processes

The collaborative philosophy of Zhongchuangxing

We regard stamping and machining as two organic components of the same manufacturing system. The relationship between them is not sequential but complementary and reinforcing.

The four dimensions of technological collaboration

1. Collaborative optimization of material properties

Traditional question

The material after stamping will undergo work hardening, which brings challenges to subsequent machining:

Aggravated tool wear

The processing accuracy has declined.

The surface quality is difficult to guarantee

Our solution

Technical path

Material selection → Stamping process design → machining strategy → Comprehensive optimization

Specific practice

For stainless steel 304

Stamping stage: Control the deformation within 15-20% to avoid excessive hardening

Machining stage: A high-speed light cutting strategy is adopted, with a linear speed of 120m/min

Result: Tool life increased by 80%, and surface roughness improved by 30%

For aluminum alloy 6061

Artificial aging should be carried out immediately after stamping (180℃×4 hours).

Eliminate internal stress and restore processing performance

The dimensional stability has been improved by 50%

2. Geometric accuracy collaborative control

Challenge

The geometric accuracy of complex parts needs to be guaranteed separately in different processes, and the cumulative error is difficult to control.

Our innovative approach

The principle of unified benchmarks

From the design of the stamping die, the positioning reference for machining should be taken into consideration

Design dedicated process holes throughout the entire manufacturing process

The reference conversion error is less than 0.005mm

Deformation prediction and compensation

Establish a database of material-process-deformation

Predict the possible deformation caused by subsequent processing during the stamping stage

Pre-compensation is carried out in the mold design

Case: Precision sensor housing

Product features: Thin wall, porous, and high flatness requirement

Traditional method: First, it is formed by stamping and then machined, with a flatness of only 0.15mm

Our approach

When stamping, reserve a machining allowance of 0.3mm

Design a special positioning structure

Vacuum adsorption clamping is adopted

Result: The flatness reached 0.05mm, an increase of 300%

3. Synergistic improvement in efficiency

Time-saving analysis

Time comparison table

The traditional process mode and the collaborative mode save costs

-----------------------------------------------

Stamping 5 days 4 days 20%

2 days of transfer, 0 100%

Machining takes 6 to 5 days with a 17% rate

Inspection: 1 day, 0.5 day, 50%

A total of 14 days, 9.5 days, and 32%

Process Reengineering

We have redesigned the manufacturing process:

Concurrent engineering: Synchronous design of stamping and machining processes

Physical integration: Workshop layout optimization to reduce the distance for material movement

Information integration: The MES system transmits process parameters in real time

4. Cost collaborative optimization

Cost composition analysis

Traditional model: Material 25% + Stamping 30% + machining 35% + management 10%

Collaborative model: Materials 25% + Manufacturing 55% + Management 20%

Key findings:

Although the collaborative model seems to increase the manufacturing ratio, in reality:

The material utilization rate has increased from 65% to 85%

The scrap rate has dropped from 5% to 1.5%

The comprehensive cost is reduced by 18-25%

Construction of a collaborative technology platform

1. Process database system

Data structure

Database architecture

├── Materials Library (Over 300 types of materials)

│ ├── Mechanical properties

│ ├── Stamping characteristics

│ └── Processing parameters

├── Craft Library (Over 5,000 Cases)

│ ├── Stamping process parameters

│ ├── Machining strategy

│ └── Collaborative optimization plan

└── Quality library

├── Defect Pattern

├── Solution

└── Preventive measures

Intelligent recommendation function

Input the product requirements, and the system will automatically recommend the best process combination with an accuracy rate of over 90%.

2. Simulation analysis platform

Multi-physics simulation capability

Stamping forming simulation (Dynaform

Processing Deformation Simulation (Deform

Thermodynamic coupling analysis

Residual stress prediction

Application effect

The number of mold trials has decreased by 70%

The process optimization cycle has been shortened by 60%

The initial success rate reached 95%

3. Real-time monitoring and feedback system

Data collection point

Stamping: 12 parameters such as pressure, speed and temperature

Machining: 18 parameters such as power, vibration and temperature

Quality inspection: 24 indicators including dimensions, shape and position tolerances, etc

Closed-loop control

Automatic warning of anomalies

Adaptive adjustment of process parameters

Quality trend prediction

In-depth analysis of typical cases

Case One: Battery connection sheets for new energy vehicles

Technical requirements

Material: Red copper T2, thickness 1.0mm

Resistance: < 0.1mΩ

Flatness: 0.1mm/100mm

Batch size: 500,000 pieces per month

Technical challenges

Copper is soft and prone to deformation after stamping

The resistance requirements are strict and precise coordination is needed

Consistency in mass production

Collaborative solution

Phase One: Process Collaborative Design

1. Optimization of stamping process

It adopts a precision progressive die with 16 workstations

Add shaping procedures and control flatness

Design a dedicated guide material structure to prevent material stretching

2. Machining strategy design

Integrate the marking process in the stamping die

Reserve the positioning reference for subsequent processing

Optimize the processing sequence and reduce the number of clamping operations

Phase Two: Production Collaborative Control

1. Online detection system

Inspect the key dimensions immediately after stamping

The data is transmitted in real time to the machining station

Automatically adjust processing parameters

2. Adaptive compensation

Monitor the batch differences of materials

Automatically compensate for process parameters

Ensure consistency between batches

Phase Three: Continuous optimization

1. Data analysis

Collect one million pieces of production data

Establish a relationship model between process parameters and quality

Identify critical control points

2. Process iteration

Optimize the process parameters once a month

Update the mold structure every quarter

Major technological innovations are carried out every year

Outcome data

Product performance

Resistance: 0.08mΩ (20% better than required)

Flatness: 0.06mm/100mm

Consistency: Cpk=2.3

Production efficiency

Production cycle: 1.2 seconds per piece

Comprehensive equipment efficiency: 94%

Model change time: 15 minutes

Quality level

First-time pass rate: 99.8%

Customer complaint rate: 0

Service life: Over 50% of the design standard

Case Two: Precision Fixtures for Medical Devices

Product features

Material: Titanium alloy TC4

Structure: Thin-walled complex curved surface

Accuracy: ±0.01mm

Aseptic requirements: Production in a 100-level cleanroom

Collaborative innovation points

1. Material processing collaboration

Vacuum annealing before stamping to relieve stress

Immediate solution treatment after stamping

2. Vacuum aging after machining

Collaborative clean production

The stamping workshop and the machining workshop are of the same clean grade

Design a dedicated material transfer channel

Establish a complete traceability system

3. Precision assurance collaboration

The precision of the stamping die is IT4 grade

The machining process adopts five-axis linkage

Online measurement compensation system

Customer value

The development cycle has been shortened by 40%

The manufacturing cost is reduced by 25%

The quality stability has been improved by 300%

The Future outlook of Collaborative Innovation

Technological development trends

Deepening of Digital Twin

1. Establish a digital model for the entire product life cycle

Achieve complete synchronization between the virtual and the real

Predictive maintenance and optimization

Integration of artificial intelligence

2. Intelligent optimization of process parameters

Automatic identification of quality defects

Intelligent decision-making for production scheduling

Expansion of new material applications

3. Co-processing of composite materials

Manufacturing of functionally graded materials

Processing of biocompatible materials

Business model innovation

Collaborative design service

Customers participate in product design

Real-time process feasibility analysis

Suggestions for Cost Optimization

Full value chain collaboration

From raw materials to the final product

Supply chain collaborative optimization

Customer usage data feedback

Platform-based operation

Establish an industry collaborative manufacturing platform

Share process knowledge

Optimize resource allocation

The construction of a collaborative culture

Team collaboration mechanism

Interdepartmental project team

Regular technical exchange meetings

Joint problem-solving mechanism

Knowledge Management System

Process Experience Library

Failed case library

Best Practice Sharing

Incentive mechanism

Collaborative Innovation Award

Cross-departmental performance evaluation

Long-term value orientation

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