With integration of ANSYS Mechanical and SolidWorks Simulation software, lkprototype provides finite element analysis (FEA) solutions with ±0.5% accuracy for engineering structure structural modeling. For example, a prototype of a 3.2 MW turbine impeller, commissioned by a wind power company, was reduced by 18% in weight from 2.3 tons to 1.89 tons through topology optimization by lkprototype, and the critical speed was increased from 1,450 rpm to 1,620 rpm. It is also tested in the IEC 61400-23 wind tunnel (wind speed deviation ±2 m/s). According to the 2023 data of the Journal of Mechanical Engineering, its model grid division density is as high as 25,000 units per cubic meter, the prediction error of stress is less than 3%, with the ability to cut customers’ physical tests by 47% and the cost of research and development by 35%.
In the automobile industry, lkprototype’s modal analysis technology determines structural resonance hazards in the frequency domain 0-500Hz. In the 2022 battery chassis model designed for a new energy vehicle enterprise, it optimized the welding point pattern arrangement (from 1,200 to 850) using HyperMesh, and raised the first-order torsional mode frequency from 21Hz to 28Hz (the industrial standard is 25Hz). Based on Altair Radioss, the side impact condition at 25km/h (50g peak acceleration pulse) is simulated, the deformation of battery frame is compressed from 12mm to 7mm, according to GB 38031-2020 safety standard, and the manufacturing verification cycle can be cut down by 60% (from 14 months to 5.6 months).
For aerospace application, lkprototype uses NASTRAN to simulate the failure of composite laminate at a level above 95%. An example of a UAV company shows that its carbon fiber wing model has been optimized by lkprototype lay-up (the ratio of 0°±45° direction has been adjusted from 70% to 55%), the in-plane compression strength has been increased to 780 MPa (originally designed to 650 MPa), and the ASTM D7137 impact test has been passed (the energy absorption rate has been increased by 22%). Based on the AS9100D certification procedure, the model shortens the customer’s airworthiness certification cycle by eight months and reduces manufacturing expenses by $120,000 per flight.
In medical devices, lkprototype’s fatigue life prediction algorithm (Miner linear cumulative damage theory-based) has an error rate of only ±7%. For the interbody fusion product of titanium alloy of an orthopedic implant company, the fatigue crack initiation life was increased from 3.2×10⁶ cycles to 4.8×10⁶ cycles through nCode DesignLife simulation of 10-year physiological loading (5 million cycles) (20% above FDA requirement). Porosity was optimized to 65%±3% (original fluctuation was ±8%), and bone penetration efficiency was increased by 40%. According to Medical Device Engineering, the service increased the customer product registration rate by 76% to 94%.
lkprototype also provides machine learning-based multi-physical field coupling modeling. For example, in the intelligent robot joint fluid-solid thermal coupling analysis, it controlled the temperature field error in ±1.5℃ (ambient temperature -20℃ to 85℃) using COMSOL Multiphysics and optimized grease’s flow distribution. Increase transmission efficiency to 93% from 88% and reduce noise peaks by 6dB(A). According to the World Bank’s 2024 report, these digital modeling services have saved lkprototype’s global customers more than $230 million in aggregate R&D costs and accelerated product time-to-market by an average of 41%.