Richard E. DeVor

Learn More
In Part II of this paper, a cutting force model for the micro-endmilling process is developed. This model incorporates the minimum chip thickness concept in order to predict the effects of the cutter edge radius on the cutting forces. A new chip thickness computation algorithm is developed to include the minimum chip thickness effect. A slip-line plasticity(More)
This paper provides a comprehensive review of the literature, mostly of the last 10–15 years, that is enhancing our understanding of the mechanics of the rapidly growing field of micromachining. The paper focuses on the mechanics of the process, discussing both experimental and modeling studies, and includes some work that, while not directly fo-cused on(More)
A mechanistic model for the micro-endmilling process is developed that explicitly accounts for the different phases while machining heterogeneous materials. It is shown that frequencies in the cutting force signal higher than those that can be explained by the kinematics of the process can be explained by considering the multiple phases in the material.(More)
Under normal machining conditions, the cutting forces are primarily due to the bulk shearing of the workpiece material in a narrow zone called the shear zone. However, under finishing conditions, when the uncut chip thickness is of the order of the cutting edge radius, a ploughing component of the forces becomes significant as compared to the shear forces.(More)
A dynamic cutting force and vibration model of the micro-endmilling process that accounts for the dynamics of the micro-endmill, influences of the stable built-up-edge, and the effects of minimum chip thickness, elastic recovery, and the elastic-plastic nature in ploughing/rubbing has been developed. Experimental validation has been performed, and the model(More)
A strategy is developed for identifying cutting tool wear on a face mill by automatically recognizing wear patterns in the cutting force signal. The strategy uses a mechanistic model development to predict forces on a lathe under conditions of wear and extends that model to account for the multiple inserts of a face mill. The extended wear model is then(More)
An automated microfactory is developed and demonstrated for multi-operation manufacturing of micro/meso-scale components. In this first paper of a two-part series, a flexible microfactory architecture is developed that supports automated operation. Improved microfactory machines, including a three-axis micro/meso-scale machine tool (mMT), a five-axis mMT(More)
Recent work in modeling of the ploughing mechanism in basic metal machining may provide a means of estimating the additional forces to be expected when cutting with a worn tool. The results predict the rubbing stresses due to the finite radius of an unworn tool edge. Since an unworn tool can be thought of as a worn tool with a wear land width VB = 0, these(More)
A.2. Degrees (schools, dates, title of doctoral thesis, and name of thesis advisor(s)) An honor for demonstrating sustained excellence in curricular development, instruction and guidance at both the undergraduate and graduate levels, including graduate student supervision, and the development of new courses, teaching laboratories, teaching techniques,(More)