一, Manufacturing difficulties caused by the characteristics of aluminum alloy materials
1. Uneven hardness and machining deformation
The hardness distribution of aluminum alloy is significantly affected by the alloy composition, forming process, and heat treatment state. For example, the hardness of 7075 aluminum alloy can reach HB150 or above, but the hardness difference between different batches or parts can reach 20% -30%. This unevenness leads to fluctuations in cutting force during the machining process, which can easily cause elastic deformation or residual stress accumulation in thin-walled parts such as satellite shells. In addition, the thermal expansion coefficient of aluminum alloy (23.6 × 10 ⁻⁶/℃) is much higher than that of steel, and the thermal stress during processing may lead to excessive dimensional deviation of the parts.
2. Surface quality and glossiness control
The surface roughness of aluminum alloy directly affects the optical reflectivity and corrosion resistance. For example, the radiation shielding components of spacecraft require a surface roughness Ra ≤ 0.4 μ m, but aluminum alloys are prone to chip deposits during high-speed cutting, resulting in scratches or orange peel on the surface. Meanwhile, the glossiness of aluminum alloys is affected by the thickness of the oxide film, and traditional mechanical polishing may damage the oxide layer and reduce corrosion resistance.
3. Cracks and pores in additive manufacturing
In laser additive manufacturing (such as SLM), the low laser absorption rate (<10%) and high thermal conductivity of aluminum alloys lead to unstable melt pools, which can easily form cracks and pores. For example, although the tensile strength of Al Si alloys (such as AlSi10Mg) can reach 400MPa, high-strength aluminum alloys such as Al Cu and Al Zn are prone to hot cracking in additive manufacturing due to their fast cooling rate (>10 ⁶ ℃/s), which limits their application in load-bearing components.
二, The technological challenges of high-precision manufacturing
1. Stress control in thin-walled machining
Thin walled components such as spacecraft skins and cabin doors (thickness<2mm) are extremely sensitive to machining deformation. For example, during the milling process of a certain type of satellite casing, uneven clamping force caused a local warping of 0.5mm, directly affecting the aerodynamic shape. Traditional craftsmanship requires multiple clamping and excess release to control deformation, but it is inefficient and costly.
2. Forming accuracy of complex structures
Spacecraft thrusters, navigation equipment, and other components often require the integration of complex structures such as flow channels and ribs. For example, a certain type of rocket engine turbine disk requires machining a spiral flow channel with a depth of 20mm and a width of 3mm on a 500mm diameter disk. Traditional milling can easily cause tool vibration and tool yielding, making it difficult to ensure form and position tolerances.
3. Component stability of additive manufacturing
High strength aluminum alloys (such as 7075) undergo component segregation in additive manufacturing due to the volatilization of elements such as Mg and Zn. For example, an experiment showed that the Zn content in 7075 alloy formed by SLM decreased by 15% compared to the original powder, significantly reducing the tensile strength. In addition, the uniform dispersion of ceramic reinforcement phases (such as TiC) is also a technical bottleneck.
三, Innovative solutions and process optimization
1. Innovation in precision machining technology
Multi axis linkage CNC machining: adopting five axis linkage milling technology, reducing cutting force fluctuations through tool path optimization. For example, a spacecraft bracket reduced its surface roughness from Ra1.6 μ m to Ra0.8 μ m through spiral interpolation milling, while increasing machining efficiency by 30%.
Low temperature cutting technology: Cutting aluminum alloys in a -80 ℃ liquid nitrogen cooling environment can reduce cutting temperature by more than 50% and suppress the formation of chip deposits. A certain experiment shows that low-temperature cutting reduces the surface roughness of 7075 aluminum alloy from Ra0.6 μ m to Ra0.2 μ m.
Intelligent fixture system: Develop adaptive fixtures that monitor clamping force in real-time and dynamically adjust it through pressure sensors. For example, a certain type of satellite skin processing uses vacuum suction fixtures to reduce clamping deformation from 0.3mm to 0.05mm.
2. Breakthrough in additive manufacturing technology
Powder pretreatment technology: Nano TiC particles are uniformly coated on the surface of aluminum alloy powder through ball milling, improving the laser absorption rate to over 30%. A study shows that the modified AlSi10Mg alloy has an increased tensile strength of 520MPa and an elongation rate of 8%.
Hybrid additive manufacturing: Combining SLM and milling technology, near net shape parts are first manufactured by additive manufacturing, and then dimensional accuracy is ensured through five axis milling. For example, a certain rocket engine combustion chamber uses this process to control the wall thickness tolerance from ± 0.2mm to within ± 0.05mm.
Hot isostatic pressing post-treatment: Performing hot isostatic pressing treatment at 120MPa and 500 ℃ on additive manufactured parts can eliminate over 90% of internal pores. A certain experiment shows that HIP treatment increases the fatigue life of 7075 alloy by 2 times.
3. Collaborative optimization of materials and processes
Composition design and heat treatment: Develop aluminum alloy systems with low crack sensitivity, such as Al Mg Sc Zr alloy, and refine grain size through Sc and Zr microalloying. Combined with two-stage aging treatment (120 ℃/8h+160 ℃/24h), the tensile strength reaches 600MPa and the elongation is greater than 10%.
Digital twin technology: Establish a simulation model of the machining process to predict deformation and stress distribution. For example, a spacecraft bracket optimized cutting parameters through simulation, reducing residual stress from 150MPa to 80MPa.
Online monitoring and closed-loop control: Integrate infrared temperature measurement and acoustic emission sensors in the processing equipment to monitor the cutting status in real time. A certain system automatically adjusts the feed rate through AI algorithm, reducing the fluctuation range of surface roughness from ± 0.3 μ m to ± 0.1 μ m.

