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①Product Forward Design and Process Optimization Based on Functional Requirements

1. Functional Requirement-Based Precise 3D Modeling

● Based on electric drive system requirements for power density, thermal dissipation performance, and assembly accuracy, professional CAD/CAM software is used to construct high-precision 3D digital models. Ensure that the coaxiality of motor housing bearing seats, flatness of reducer housing mounting surfaces, and contour accuracy of controller housing sealing grooves meet design specifications, providing accurate references for subsequent machining.

● Collaborate closely with the electric drive system R&D team, translating high-speed operation thermal balance requirements, vibration modal characteristics, and multi-condition fatigue life requirements into specific design features such as cooling channel topology optimization, rib layout, and sealing interface design.

2. Design for Manufacturing Structure Optimization

● Fully consider die-cast blank characteristics and subsequent machining process constraints, optimizing part structural morphology. By reducing deep holes with excessive depth-to-diameter ratios, controlling thickness uniformity in thin-wall areas, and avoiding undercut structures, broaden the process window and reduce machining difficulty and tool costs.

● Perform rotor dynamics analysis on high-speed rotating components, optimizing shaft shoulder transition radii and spline parameters; conduct tolerance sensitivity analysis on bearing seats and sensor mounting points to ensure stable and reliable performance within assembly tolerance ranges.

② High-Performance Material System and Pretreatment Technology for Extreme Operating Conditions

1. Multi-Material System Collaborative Selection and Matching

● Based on the differing service conditions of various electric drive system components, construct a multi-material collaborative system: motor housings use high thermal conductivity aluminum alloy ADC12, balancing heat dissipation and casting performance; motor shafts use 42CrMoA high-strength alloy steel, obtaining excellent comprehensive mechanical properties through quenching and tempering; reduction gears use 20MnCr5 carburizing steel, ensuring high tooth surface hardness and good core toughness.

● Establish strict incoming material inspection standards, performing spectral composition analysis and conductivity testing on aluminum alloys, and microstructure grading and hardness uniformity testing on steel materials, ensuring batch-to-batch stability and eliminating potential impacts of material variations on machining accuracy.

2. Blank Pretreatment and Microstructure Control Technology

● Apply T6 or T7 aging treatment to die-cast aluminum alloy housings, fully eliminating casting residual stresses, stabilizing dimensional accuracy, and preventing post-machining deformation. Apply isothermal normalizing treatment to alloy steel forgings, obtaining uniform and fine pearlite microstructure, improving machinability and heat treatment deformation control.

● For motor controller housings with airtightness requirements, perform vacuum impregnation treatment before machining to seal micro-shrinkage porosity, ensuring subsequent compliance with IP6K9K protection rating requirements while improving sealing surface machining quality.

③ Precision Machining Process Based on Multi-Axis Linkage and Adaptive Control

1. High-Rigidity Precision Machining Equipment and Intelligent Maintenance System

● Configure high-rigidity horizontal machining centers and 5-axis linkage machining centers with box-in-box structures and linear motor drive technology, achieving micron-level interpolation accuracy and high-speed high-acceleration motion characteristics. Equip key processes with on-machine measurement probes and temperature compensation systems for real-time monitoring and compensation of thermal deformation errors.

● Build equipment digital twin health management systems, predicting remaining service life of spindle bearings and ball screws through vibration analysis and power monitoring, implementing predictive maintenance to ensure long-term stable equipment operation at optimal precision states.

2. Advanced Tooling System and Intelligent Cutting Parameter Optimization

● Establish a tool database based on workpiece material characteristics, selecting large rake angle PCD tools for aluminum alloy machining to achieve excellent surface quality under high-speed cutting; selecting TiSiN nano-coated carbide tools for alloy steel machining, balancing high-temperature hardness and anti-adhesion properties. Perform dynamic balancing tests and runout control on finishing tools to ensure machining stability.

● Establish mapping relationships between cutting parameters and machining quality/efficiency through combined cutting simulation and process trials, optimizing cutting speed, feed rate, and depth of cut combinations for different processes using response surface methodology, achieving a balance between high precision and high efficiency.

3. Multi-Process Integration and Complex Feature Machining Technology

● Apply roughing-semi-finishing-finishing multi-stage machining strategies for complex parts such as motor housings, arranging natural aging after roughing for stress relief before semi-finishing and finishing. Apply honing after boring for critical bearing holes, achieving roundness ≤0.003mm and surface roughness Ra≤0.4μm.

● Apply 5-axis linkage machining technology to complete complex features such as inclined surfaces, undercut grooves, and spatial angle holes in a single setup, reducing cumulative positioning errors. Apply trochoidal milling and plunge milling for deep cavity structures, effectively controlling cutting forces and vibration to ensure sidewall perpendicularity and bottom surface flatness.

4. Process Monitoring and Adaptive Control Technology3

●  Build a multi-sensor fusion-based process monitoring system, real-time collecting spindle power, cutting force signals, and vibration characteristics, identifying tool wear status and cutting anomalies through machine learning algorithms, enabling tool life prediction and adaptive adjustment of machining parameters.

● Apply minimum quantity lubrication technology, precisely controlling cutting fluid flow and spray position to ensure lubrication and cooling effects while reducing cutting fluid consumption, minimizing workpiece thermal deformation while achieving green manufacturing.

④ Full-Process Digital Inspection and Closed-Loop Quality Control

1. Precision Inspection Equipment and Digital Measurement Technology

● Configure high-precision coordinate measuring machines and laser trackers, establishing constant temperature metrology rooms to ensure measurement environment temperature is maintained at 20±1°C. Conduct comprehensive inspection of critical dimensions and geometric tolerances, controlling measurement uncertainty at the micron level.

● Apply optical scanning and 3D comparison technology for full-surface contour inspection of complex curved parts, generating color deviation maps to visually display machining error distribution, providing visual references for process optimization.

2. On-Machine Inspection and Real-Time Feedback Compensation

● Configure Renishaw probe systems on machining centers, performing critical dimension measurements directly on machine tools after finishing, automatically calculating tool wear compensation values through macro programs and updating tool offset parameters, achieving closed-loop accuracy contro

● Establish real-time process capability index monitoring systems, dynamically tracking CPK values for critical dimensions, automatically alerting when CPK falls below 1.33, triggering process diagnosis procedures to prevent non-conforming batches.

3. Multi-Source Error Identification and Process Compensation Strategy

● Based on measurement big data, apply variance analysis and principal component analysis methods to identify influence weights of different error sources such as machine geometric errors, thermal deformation errors, fixture positioning errors, and tool wear errors, establishing error propagation models.

● For identified systematic errors, apply software compensation strategies such as correcting tool center point coordinates in post-processed code, optimizing tool path sequences, or adjusting workpiece clamping orientations, effectively improving batch processing consistency.

⑤ High-Skill Talent Development and Lean Production Management System

1. Versatile Technical Talent Development and Incentive Mechanism

● Build a matrix technical team consisting of process experts, programming engineers, and setup technicians, promoting rotational training and cross-departmental project collaboration to cultivate versatile technical talents proficient in both process knowledge and programming skills.

● Establish technological innovation point systems and project partner mechanisms, providing technical dividends and promotion pathway incentives for teams and individuals making outstanding contributions to process innovation, efficiency improvement, and cost optimization.

2. Standardized Operations and Lean Site Management

● Establish a standardized operating procedure system covering all processes, solidifying programming specifications, tool parameters, inspection frequency, and abnormal condition handling procedures into standardized documents, ensuring operational consistency across different shifts and operators.

● Implement value stream mapping analysis and quick changeover techniques, identifying and eliminating various wastes in production processes, improving overall equipment effectiveness through single-minute exchange of dies. Implement visual management boards for real-time updates on production progress, quality indicators, and equipment status, improving site problem response speed.