Visualization of 3+2 Axis Machining Result by Combining Multiple Z-map Models

Machine models and tool motions for simulating five-axis machining

This paper presents a method of determining the tool motion of a five-axis machine. The method is motivated by the imprint point method, where points on the machined surface are computed based on the tool position and tool motion. While simple linear motion can be used as a coarse approximation to this motion, this paper looks at more accurate models of tool motion based on machine kinematics t...

Combining multiple models – Democracy Versus

When wise people take critical decisions, they usually take into account the opinions from many experts. Now whether to give equal importance to each expert’s opinion or weigh them according to their expertise, their experience is another good logical problem to think on. The main focus of this paper is to closely compare the performance of equally weighted voting (democracy) schemes in Machine...

Combining outputs of multiple LVCSR models by machine learning

This paper proposes to apply machine learning techniques to the task of combining outputs of multiple LVCSR models, where, as features of machine learning, information such as the models which output the hypothesized word, its part-of-speech, and its syllable length are useful for improving the word recognition rate. Experimental results show that the combination result outperforms several base...

Surface swept by a toroidal cutter during 5-axis machining

This paper presents a method of determining the shape of the surface swept by a tool that follows a 5-axis tool path for machining curved surfaces. The method is based on discretizing the tool into pseudoinserts and identifying imprint points using a modified principle of silhouettes. An imprint point exists for each pseudo-insert, and the piecewise linear curve connecting them forms an imprint...

Tool Path Modification Approaches to Enhance Machining Geometric Accuracy in 3-Axis and 5-Axis Machining