一个引擎 ·
读懂每一种打印方式
One engine ·
fluent in every AM process
从激光粉末床到电子束、定向能量沉积、粘结剂喷射 —— 云熔智算覆盖主流金属增材工艺，并为每一种工艺还原其独有的物理过程。 From laser powder-bed to electron beam, directed energy deposition and binder jetting — YunRong covers the mainstream metal AM processes, reproducing the physics unique to each.
选择性激光熔化 Selective Laser Melting
这是什么？What is it?
激光在铺好的金属粉层上逐点扫描熔化、凝固成形。精度高、表面好，是金属增材最主流的工艺 —— 也是缺陷物理最复杂的工艺。 A focused laser scans and melts a freshly-spread metal powder layer, point by point. High resolution and surface quality make it the workhorse of metal AM — and the richest in defect physics.
云熔智算如何帮助How YunRong helps
- 打印前预测零件变形与残余应力，并反向补偿几何，一次打印成功Predict part distortion and residual stress before printing, and compensate geometry to get it right the first time
- 还原匙孔动力学与熔池流动，预测气孔与飞溅Reproduce keyhole dynamics and melt-pool flow to predict porosity and spatter
- 微观组织与晶粒取向预测，支撑工艺参数开发Microstructure and grain-orientation prediction for process-parameter development
- 自动评估支撑需承受的最大应力，优化支撑设计Assess the peak stress supports must withstand and optimize support design
定向能量沉积 Directed Energy Deposition
这是什么？What is it?
喷嘴将金属粉末同步送入激光熔池，边熔边堆积。适合大尺寸构件、修复与梯度材料 —— 粉末利用率与熔池稳定性是关键。 A nozzle blows metal powder into a moving laser melt pool, building as it goes. Ideal for large parts, repair and graded materials — powder efficiency and melt-pool stability are the levers.
云熔智算如何帮助How YunRong helps
- 全零件热-力耦合工艺仿真，预测温度、变形与应力Full-part thermal-mechanical process simulation predicting temperature, deformation and stress
- 多相送粉流与熔池耦合，预测粉末捕获率Multiphase powder–gas flow coupled to the melt pool to predict capture efficiency
- 熔池尺寸与稀释率预测，优化沉积参数Melt-pool size and dilution prediction to tune deposition parameters
- 功能梯度材料成分演化建模与修复路径评估Model functionally-graded composition and evaluate repair toolpaths
粘结剂喷射 Binder Jetting
这是什么？What is it?
打印头在粉末床上喷射液态粘结剂逐层粘合。无热应力、可大批量、可彩色 —— 但需脱脂烧结致密化，收缩控制是难点。 A printhead jets liquid binder to glue powder layer by layer — no thermal stress, scalable, even full-color. But debinding and sintering are required, and shrinkage control is the challenge.
云熔智算如何帮助How YunRong helps
- 打印前预测烧结收缩与弯曲变形Predict sintering shrinkage and bending before printing
- 模拟粘结剂-粉末润湿、渗流与层间结合Simulate binder–powder wetting, infiltration and inter-layer bonding
- 脱脂烧结致密化与各向异性收缩预测Densification and anisotropic shrinkage prediction through debind and sinter
- 反向补偿生坯几何，命中最终尺寸公差Compensate green-part geometry to hit final dimensional tolerance
丝材电弧增材制造 Wire Arc Additive Manufacturing
这是什么？What is it?
以焊接电弧为热源熔化金属丝材，逐道逐层堆焊成形。沉积速率高、成本低、适合米级大型构件 —— 热积累、道间重熔与残余变形是核心难点。 A welding arc melts metal wire, depositing bead by bead, layer by layer. High deposition rate and low cost suit meter-scale parts — heat accumulation, inter-pass remelting and distortion are the hard parts.
云熔智算如何帮助How YunRong helps
- 电弧热源与熔滴过渡建模Model the arc heat source and droplet transfer
- 熔池流动与道间重熔模拟，控制焊道成形Simulate melt-pool flow and inter-pass remelting to control bead morphology
- 预测热积累与逐层残余变形Predict heat accumulation and layer-by-layer distortion
- 米级大型构件的变形补偿与路径优化Distortion compensation and toolpath optimization for meter-scale parts
电子束熔化 Electron-Beam Melting
这是什么？What is it?
电子束在真空环境下熔化预热粉末床。热输入高、残余应力低，适合钛合金与难熔金属 —— 但成分蒸发与表面粗糙是主要难点。 In vacuum, an electron beam melts a pre-heated powder bed. High thermal input and low residual stress suit titanium and refractory metals — but element evaporation and surface roughness are the hard parts.
云熔智算如何帮助How YunRong helps
- 电子束-基板热源建模，预测真空环境下的全程热历史Model the e-beam–substrate heat source and predict the full thermal history in vacuum
- 模拟预热阶段的粉末烧结与导电性演化Simulate powder sintering and conductivity evolution during pre-heating
- 预测元素蒸发与成分漂移，保障合金成分Predict element evaporation and composition drift to safeguard alloy chemistry
- 评估残余应力、熔合区形貌与缺陷Assess residual stress, fusion-zone morphology and defects