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E-mail
heyinan@cksysb.com
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Phone
15651013786
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Canghai Road, Lingang New Area, China (Shanghai) Pilot Free Trade Zone
Shanghai Hexiaoyi Technology Co., Ltd
heyinan@cksysb.com
15651013786
Canghai Road, Lingang New Area, China (Shanghai) Pilot Free Trade Zone
When the "joints" of industrial robots start to "fever": Shanghai Hexiaoyi cracks the lifespan password under temperature rise load fluctuations
In the welding workshop of a new energy vehicle factory in the Yangtze River Delta, 20 six axis industrial robots are completing precise welding of white body with a repeated positioning accuracy of 0.1 millimeters. Their "joints" - precision reducers, servo motors, and bearing components - are rotating at a high speed of 200 revolutions per minute, enduring the dual test of periodic loads (instantaneous torque reaching 120% of rated value during welding) and continuous heating (motor and friction heating combined, joint temperature rising above 80 ℃).
However, behind the seemingly stable operation, a "hidden loss" is occurring: temperature rise leads to a decrease in lubricating oil viscosity, material thermal expansion causes changes in fitting clearance, and load fluctuations intensify contact stress concentration - both are like "thermal force" double swords, accelerating far beyond a single factor and shortening joint life. According to statistics, industrial robots that are shut down for maintenance due to joint failure account for more than 35% of unplanned downtime on production lines, resulting in an increase of 150000 to 300000 yuan in annual maintenance costs for a single robot.
How to accurately evaluate the joint life under the synergistic effect of "temperature rise load fluctuation"? This "reliability black box" that troubles the global robotics industry is being cracked by Chinese technology company Shanghai Hexiaoyi with its independently developed "multi field coupling life assessment technology system".
Industry Pain: Why is temperature rise and load the "death combination" of joints?
The core components of industrial robot joints, such as the cycloid wheel of RV reducers, the flexible wheel of harmonic reducers, and the bearings of servo motors, fail due to the gradual damage of materials under the "thermal mechanical" coupling effect. However, traditional evaluation methods have two fatal blind spots:
The misconception of "single factor attribution": In the past, lifespan issues were often simply attributed to "high load" or "poor heat dissipation". For example, a certain enterprise once caused pitting corrosion on joint gears due to excessive load, but ignored the amplification effect of long-term high temperature (oil film failure) on tooth surface contact stress; Another company installed heat sinks for cooling, but due to periodic thermal stress caused by load fluctuations, bolts became loose and seals failed.
The limitations of "static testing": Traditional life testing is often conducted in a laboratory environment with constant temperature (25 ℃) and constant load (80% rated value), and the deviation between the "theoretical life" obtained and the actual working conditions exceeds 50%. A certain collaborative robot manufacturer once suffered losses of over 10 million yuan due to the failure to consider the scenario of "instantaneous overload+local temperature rise" at the handling station, resulting in a batch of joints breaking within 3 months.
In fact, the synergistic effect of temperature rise and load fluctuation far exceeds "1+1=2":
Thermal mechanical coupling accelerates wear: Load fluctuations cause repeated compression relaxation in the contact area, friction generates heat and causes a sudden temperature rise (up to 120 ℃ locally). After the lubricating oil film ruptures, the metal surface comes into direct contact, and the wear rate increases by 3-5 times;
The "multiplier effect" of material performance degradation: high temperature will soften the metal (such as a 15% decrease in hardness of bearing steel at 80 ℃), and the alternating stress of load fluctuations will amplify this softening, leading to premature initiation of fatigue cracks;
The "chain failure" of the sealing system: temperature rise causes aging and shrinkage of rubber seals, and the vibration caused by load fluctuations exacerbates the friction of the sealing surface, ultimately increasing the risk of oil leakage by more than 40%.
This complex interaction relationship makes traditional evaluation methods unable to accurately predict the remaining life of joints under actual working conditions, becoming a bottleneck problem that restricts the high reliability application of industrial robots.
Shanghai Hexionyi Plan: A Comprehensive Breakthrough from "Single Point Testing" to "Multi Field Coupling"
In the face of this industry pain point, Shanghai Hexiaoyi relies on more than ten years of technical accumulation in the fields of mechanical transmission, thermal management, and material fatigue. Together with the Robotics Research Institute of Harbin Institute of Technology and the School of Mechanical and Power Engineering of Shanghai Jiao Tong University, they have built a "temperature rise load fluctuation co life assessment technology system", achieving full chain coverage from micro damage mechanisms to engineering applications.
Core Technology 1: Multi physics Field Coupled Simulation Platform - "Digital Twin" Rehearsal Joint Full Life Cycle
Traditional simulation can only simulate a single physical field (such as thermal conduction or structural stress), while the T-Life multi field coupled simulation platform independently developed by Shanghai Hexiaoyi can reproduce the dynamic damage process of joints under "variable load+variable temperature rise" in virtual space 1:1 by integrating multi-dimensional models of heat, force, and material
Load temperature rise coupling modeling: Based on the robot's motion trajectory (such as emergency stop during welding and impact during transportation), input the load spectrum (time series torque and speed data), combined with joint heat dissipation characteristics (air cooling/water cooling efficiency, contact thermal resistance), and calculate the temperature distribution of key parts (such as cycloidal gear teeth and bearing raceways) in real time;
Dynamic degradation of material properties: Introducing a material constitutive model with "temperature stress time" three field coupling, describing the softening of metals at high temperatures (such as the decrease of elastic modulus with increasing temperature), the attenuation of fatigue strength (such as the exponential increase of crack propagation rate at high temperatures), and the viscosity temperature characteristics of lubricating oil (such as the exponential decrease of viscosity with increasing temperature);
Life prediction and risk warning: Through Monte Carlo simulation (considering the randomness of load fluctuations and uncertainty of temperature rise fluctuations), output the probability distribution of joint life under different working conditions, and label high-risk areas (such as the peak contact stress of tooth surface under a certain trajectory+local temperature rise exceeding the threshold).
The platform has been validated in a certain automotive welding robot project: the traditional method predicts a joint life of 20000 hours, while the T-Life platform, combined with actual working conditions (load fluctuation ± 30%, peak temperature rise of 95 ℃), corrects the life to 12000 hours, with an error of only 5% compared to on-site measured data. The customer adjusted the production pace and lubrication cycle accordingly, reducing annual maintenance costs by 40%.
Core Technology 2: Accelerated Life Test System - Rapid Verification under "Time Folding"
To solve the problem of long engineering verification cycles, Shanghai Hexiaoyi Innovation has developed the "Temperature Load Composite Accelerated Testing System". By synergistically regulating the three elements of temperature load time, the thousands of hours of testing under natural conditions can be compressed into hundreds of hours without changing the damage mechanism:
Multi stress level superposition: The test chamber can simultaneously apply variable loads (such as 0-150% rated torque cycle) and variable temperature rise (such as periodic fluctuations from 25 ℃ to 120 ℃), simulating multiple scenarios such as robot handling, welding, and palletizing;
Online damage monitoring: Integrated acoustic emission sensors (capturing microcrack signals), infrared thermal imagers (monitoring local temperature rise anomalies), oil particle counters (analyzing wear debris), real-time collection of 20+damage characteristic data;
Data driven model iteration: The experimental data is automatically input into the simulation platform to correct the material degradation model and failure criteria, forming a closed loop of "test simulation optimization" to ensure that the evaluation results are highly consistent with the actual working conditions.
After a leading collaborative robot enterprise adopted this system, the joint life verification cycle was shortened from 12 months to 3 months, and the launch time of new products was advanced by 6 months, seizing 30% of the segmented market share.
Core Technology Three: Whole Life Cycle Health Management - Implementation Practice of "Predictive Maintenance"
Shanghai Hexiaoyi not only provides "life assessment", but also creates an integrated solution of "assessment optimization operation and maintenance":
Design phase: Identify high-risk structures through simulation platforms (such as the meshing points between cycloidal gears and needle teeth, and the transition corners between the inner and outer rings of bearings), propose gradient material design (such as surface carburizing to improve wear resistance, core quenching and tempering to improve fatigue resistance) or structural optimization (such as adding heat dissipation slots to reduce local temperature rise);
Manufacturing stage: Based on accelerated test data, optimize heat treatment process (such as adjusting quenching temperature to reduce residual stress), assembly accuracy (such as controlling tooth flank clearance to reduce impact load);
Operation and maintenance phase: Based on real-time monitoring data, AI algorithms are used to predict the remaining life (with an accuracy of ± 50 hours), early warning of abnormalities (such as a sudden increase of 30% in temperature rise rate, which may indicate lubrication failure), and guide users to adjust load distribution or arrange maintenance.
After a certain 3C electronics factory introduced this solution, the joint failure rate of its SCARA robot decreased from 8% to 1.2%, the overall equipment efficiency (OEE) of the production line increased by 18%, and the annual cost savings exceeded 2 million yuan.
From Laboratory to Production Line: Shanghai Hexiaoyi's "Technology Landing Philosophy"
At the Suzhou Industrial Park laboratory of Shanghai Hexiaoyi, a running six axis robot joint is covered by a transparent protective cover, with real-time temperature curves, load spectra, and life prediction curves jumping on the screen. Every one of our technologies must go through the triple test of 'simulation bench test installation model verification', "said Wang Lei, General Manager of Shanghai Hexiaoyi Robot Business Unit." The reliability of industrial robots cannot tolerate 'theoretical assumptions', and must be' spoken with data '
This pragmatic attitude has enabled Shanghai Hexiaoyi's technology to not only stay in academic papers, but also deeply integrate into the manufacturing field: from heavy-duty robots on automotive welding lines, to precision assembly robots on 3C electronic production lines, from clean robots in the food industry to palletizing robots in the logistics industry, Shanghai Hexiaoyi's "temperature rise load collaborative life assessment" program has covered more than 20 sub sectors, serving customers including domestic and foreign robot leaders such as ABB, Fanuc, Eston, as well as manufacturing enterprises such as BYD, CATL, and Gree.
Conclusion: Make the "joints" of industrial robots more "long-lived" and make China's intelligent manufacturing more "reliable"
Under the wave of "machine for human" and "intelligent manufacturing", the reliability of industrial robots has become a key support for the upgrading of the manufacturing industry. Shanghai Hexiaoyi takes "temperature rise load fluctuation collaborative life evaluation" as the fulcrum, leveraging not only the improvement of joint life, but also the leap of Chinese industrial robots from "usable" to "easy to use and durable".
In the future, with the emergence of new forms such as collaborative robots and humanoid robots, the working scenarios of joints will become more complex, such as variable loads during human integration and heat dissipation limitations in narrow spaces. Shanghai Hexiaoyi has deployed "multimodal perception+adaptive control" technology, committed to providing "full scene, full cycle" reliability guarantee for the new generation of robots.
Because I understand machines, I am more reliable; Because of the emphasis on landing, there is a greater emphasis on value. Shanghai Hexiaoyi is driven by technological innovation, writing a reliable legend of Chinese intelligent manufacturing in the "tiny joints" of industrial robots.