Additive Manufacturing Control via Nonlinear Beam Power and Speed
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Solution Overview
Problem
Current additive manufacturing machinery faces challenges in producing high-quality parts due to variations in raw material thermal conductivity and electron beam path line length, leading to defects like surface porosity and microcracks.
Innovation Solution
A computing device is used to control the electron beam generator by varying its power and speed non-linearly based on the length of the path lines and the thermal conductivity of the material, ensuring optimal heating and cooling of the material during the manufacturing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the electron beam follows a serpentine pattern with spaced-apart parallel lines to melt and fuse raw material, then the manufacturing process can be completed, but the material cools too much between adjacent path lines causing defects like surface porosity and microcracks
Solution Approach 1:
The patent changes the scanning parameters of the electron beam, specifically varying the scan speed and power dynamically along the path lines. By adjusting these parameters, the system compensates for material cooling between adjacent lines, maintaining optimal melting temperature and preventing defects while completing the manufacturing process
Solution Approach 2:
The system transitions from static scanning parameters to dynamic parameter adjustment. The electron beam scan speed and power are made variable rather than constant, allowing real-time adaptation to thermal conditions between adjacent path lines, thereby preventing material cooling issues
2Quantity of substance
If the electron beam travels along longer path lines in areas of a cross section, then more material can be processed, but the material cools to an undesirable level before the beam returns to the same point
Solution Approach 1:
The patent implements periodic variation in electron beam parameters along the path lines. By creating periodic patterns in scan speed and power adjustment, the system ensures that material temperature is maintained at desirable levels before the beam returns to the same point, while still processing the required quantity of material
Solution Approach 2:
The system uses feedback mechanisms to monitor and adjust electron beam parameters based on thermal conditions. By measuring temperature or thermal state and adjusting scan speed and power accordingly, the system maintains optimal material temperature throughout the processing of each cross section
3Device complexity
If the electron beam uses constant power and speed, then the control system is simple, but it cannot compensate for variations in raw material thermal conductivity causing quality issues
Solution Approach 1:
The patent implements dynamic parameter changes in the electron beam control system. By varying power and scan speed based on material thermal conductivity and path line characteristics, the system achieves high manufacturing precision while managing control complexity through algorithmic approaches
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach helps in minimizing defects such as microcracking and porosity by maintaining optimal material temperature, resulting in improved quality of the manufactured parts.
Implementation Method 1
The electron beam generator may be positioned above the raw material bed and may generate an electron beam onto the raw material in the bed. The electron beam possesses sufficient power to melt particles of the raw material and fuse them together.
Implementation Method 2
The electron beam possesses sufficient power to melt particles of the raw material and fuse them together
Implementation Method 3
The heating and cooling behavior of the raw material may result from the intrinsic thermal conductivity properties of the metals and alloys used. Some raw material metals, such as aluminum, copper, gold, silver, and their alloys, have a higher thermal conductivity than other metals, such as carbon steel. The metals and alloys with higher thermal conductivity will cool more rapidly than those with lower thermal conductivity.
Data Source
AI summary
A computing device for controlling the operation of an additive manufacturing machine comprises a memory element and a processing element. The memory element is configured to store a three-dimensional model of a part to be manufactured, wherein the three-dimensional model defines a plurality of cross sections of the part. The processing element is in communication with the memory element. The processing element is configured to receive the three-dimensional model, determine a plurality of paths, each path including a plurality of parallel lines, determine a radiation beam power for each line, such that the radiation beam power varies non-linearly according to a length of the line, and determine a radiation beam scan speed for each line, such that the radiation beam scan speed is a function of a temperature of a material used to manufacture the part, the length of the line, and the radiation beam power for the line.