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Agung Shamsuddin Saragih,고태조 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.10
An alternative method is developed to remove metal from a work piece by combining a digital lithography system with biomachining. The purpose of this system is to obtain extra advantages as compared to conventional micro-fabrication processes currently used in practice. The use of microorganisms as a cutting tool in biomachining can eliminate the use of hazardous chemical materials, and the target surface is not affected by heat as a result of machining. The proposed process has a low material removal rate, but with less energy consumption. The greatest advantage is that the tools used in biomachining can be cultured continuously; i.e., they are renewable. Theoretically,the resolution of biomachining can reach 1 um due to the size of the bacteria. To achieve selective material removal, we combine the biomachining process with a polymer mask generated by a digital lithography (DL) system. In order to minimize errors and noise, the DL system was constructed by choosing robust and commonly available devices for most of the sub-tasks. This construction then can bring projected image onto work piece surface on fully controlled.
Extracting Single Source Geometric Error Value from a Double Ballbar Measurement Error Map
Saragih, Agung Shamsuddin,Ko, Tae Jo Trans Tech Publications, Ltd. 2013 Applied Mechanics and Materials Vol. No.
<P>The double ballbar (DBB) test is a well-known way to check the geometric error of axis interaction. The DBB test captures actual data from multiple error origins. Here, we define the DBB measurement result as the sinusoid error map model plus noise. Using this concept, we extract a single source geometric error value from the DBB error map by LS fitting. We considered the “noise” as mix error from other sources. To ensure the quality of a numerical fitting, we used a sinusoid model of each geometric error that was generated by simulation of axis movement based on homogeneous transformation matrices (HTMs) as general best-fit curve. To verify the proposed method, we extract a well-known geometric error of linear axes and compare it with the result from a commercial measurement system. This method is applicable to both a full circle and a truncated DBB test path. Then, we use the method to estimate the geometric error of axis interaction between linear and rotary axes in a five-axis machine. A sequence of DBB tests is arranged based on linear-linear and linear-rotary simultaneous motions. The tests contain seven DBB test runs with two setups, and are able to identify eleven geometry errors of interaction of axes in less time, and with less human “intervention” error.</P>