To fully exploit the advantages of multi-axis machining in a modern production environment, new types of parallel kinematic machines (PKM) and new processing technologies such as those using high speed cutting (HSC) are needed. However, the machining accuracy and hence the process reliability of PKM are still not satisfactory when using today’s CAM systems due to the complexity of the dynamic behavior of machine axes. A hybrid simulation method for optimizing tool paths that overcomes the limits of today’s CAM systems is presented in this work. Two major independent simulations were performed, to examine the influences on the quality of the final product. It is shown that the kinematics, the dynamics and the stiffness are important factors affecting the accuracy of PKM. These factors can be taken into account, to obtain an accurate modeling of PKM-behavior.
To fully exploit the advantages of multi-axis machining in a modern production environment, new types of parallel kinematic machines (PKM) and new processing technologies such as those using high speed cutting (HSC) are needed. However, the machining accuracy and hence the process reliability of PKM are still not satisfactory when using today’s CAM systems due to the complexity of the dynamic behavior of machine axes. A hybrid simulation method for optimizing tool paths that overcomes the limits of today’s CAM systems is presented in this work. Two major independent simulations were performed, to examine the influences on the quality of the final product. It is shown that the kinematics, the dynamics and the stiffness are important factors affecting the accuracy of PKM. These factors can be taken into account, to obtain an accurate modeling of PKM-behavior.
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