Design of a low-cost fiber optical occlusion based automatic tool setter for micro milling machine

2014 ◽  
Author(s):  
Xinyu Liu ◽  
Weihang Zhu
Keyword(s):  
Low Cost ◽  
Micro Milling ◽  
Milling Machine ◽  
Fiber Optical ◽  
Automatic Tool

scholarly journals Low Cost Micro Milling Machine for Prototyping Plastic Microfluidic Devices

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 707 ◽  
Author(s):  
Md Mubarak Hossain ◽  
Tanzilur Rahman
Keyword(s):  
Developing Countries ◽  
Microfluidic Device ◽  
Low Cost ◽  
Microfluidic Devices ◽  
Micro Milling ◽  
Biological Research ◽  
Milling Machine ◽  
Plastic Materials ◽  
Milling Machines

Micro-milling is one of the commonly used methods of fabrication of microfluidic devices necessary for cell biological research and application. Commercial micro-milling machines are expensive, and researchers in developing countries can’t afford them. Here, we report the design and the development of a low-cost (<130 USD) micro milling machine and asses the prototyping capabilities of microfeatures in plastic materials. We demonstrate that the developed machine can be used in fabricating the plastic based microfluidic device.

An Indirect Method for the Measurement of Micro-Milling Forces

2019 ◽  
Author(s):  
Xiaohong Lu ◽  
Furui Wang ◽  
Kun Yang ◽  
Yixuan Feng ◽  
Steven Y. Liang
Keyword(s):  
Measurement System ◽  
Indirect Method ◽  
Low Cost ◽  
Indirect Measurement ◽  
Transmission System ◽  
Micro Milling ◽  
Force Sensors ◽  
Milling Machine ◽  
Milling Force ◽  
Milling Forces

Abstract Nowadays, the measurement of micro-milling forces is mainly achieved by a force transducer. However, the frequency of force signal is high, due to the spindle super-speed, which leads to failure of the micro-milling forces measurement by using common force sensors. Additionally, micro force sensors with high-resolution and high sampling frequency are preferred, but they are often expensive. To determine the average micro-milling force with low cost and high precision, we propose an indirect method, by determining the power of the main transmission system of a micro-milling machine. First, the measurement system for the micro-milling machine tool power was introduced, and various sensors were used to measure the current and voltage respectively. Then, a high-frequency sampling system based on the Labview was developed to process the current and voltage signals, and to obtain the power data of the main transmission system. Through this process, the indirect measurement of micro-milling forces was achieved. Finally, we validated the effectiveness of the developed on-line measurement system and the proposed indirect measurement method for average micro-milling force by using experiments. The proposed method is practical and low-cost, and it can lay the foundation for further research on cutting energy consumption.

Experimental Analysis of Process Parameters to Manufacture Micro-Cavities by Micro-Milling

2012 ◽  
Vol 498 ◽  
pp. 91-96 ◽  
Author(s):  
J. Gomar ◽  
A. Amaro ◽  
E. Vázquez ◽  
J. Ciurana ◽  
C. Rodríguez
Keyword(s):  
Automotive Industry ◽  
Micro Milling ◽  
Geometric Features ◽  
Milling Machine ◽  
Machining Processes ◽  
New Approach ◽  
Biomedical Field ◽  
Dimensional Errors ◽  
Conventional Machining ◽  
Potential Opportunity

The use of conventional machining processes has been subject to important decline probably due to the increment in the use of emerging technologies. Therefore, the main applications of these traditional processes, such as automotive industry, are in crisis. In order to have a chance to compete successfully in the new trends, the machining industry must meet the needs of alternative sectors such as biomedical field. The aim of this study is to prove the capacity of micro-milling, by machining complex micro-cavities on aluminum workpiece using a conventional milling machine. Results are obtained by evaluating accuracy and geometric features. This study finds that the feed per tooth is a significant factor in order to obtain better results. The use of coolant increases the tool wear and therefore dimensional errors. This scope is a potential opportunity to reutilize the conventional machines from a new approach.

Weka Trainable Segmentation Plugin in ImageJ: A Semi-Automatic Tool Applied to Crystal Size Distributions of Microlites in Volcanic Rocks

2018 ◽  
Vol 24 (6) ◽  
pp. 667-675 ◽  
Author(s):  
Charline Lormand ◽  
Georg F. Zellmer ◽  
Károly Németh ◽  
Geoff Kilgour ◽  
Stuart Mead ◽  
...  
Keyword(s):  
Crystal Size ◽  
Low Cost ◽  
Volcanic Rocks ◽  
Scattered Electron ◽  
Promising Alternative ◽  
Wide Range ◽  
Segmented Images ◽  
Electron Microscopes ◽  
Automatic Tool ◽  
Magmatic History

AbstractCrystals within volcanic rocks record geochemical and textural signatures during magmatic evolution before eruption. Clues to this magmatic history can be examined using crystal size distribution (CSD) studies. The analysis of CSDs is a standard petrological tool, but laborious due to manual hand-drawing of crystal margins. The trainable Weka segmentation (TWS) plugin in ImageJ is a promising alternative. It uses machine learning and image segmentation to classify an image. We recorded back-scattered electron (BSE) images of three volcanic samples with different crystallinity (35, 50 and ≥85 vol. %), using scanning electron microscopes (SEM) of variable image resolutions, which we then tested using TWS. Crystal measurements obtained from the automatically segmented images are compared with those of the manual segmentation. Samples up to 50 vol. % crystallinity are successfully segmented using TWS. Segmentation at significantly higher crystallinities fails, as crystal boundaries cannot be distinguished. Accuracy performance tests for the TWS classifiers yield high F-scores (>0.930), hence, TWS is a successful and fast computing tool for outlining crystals from BSE images of glassy rocks. Finally, reliable CSD’s can be derived using a low-cost desktop SEM, paving the way for a wide range of research to take advantage of this new petrological method.

Design of Special Fixture for Micro High Speed Motorized Spindle

2011 ◽  
Vol 228-229 ◽  
pp. 66-71
Author(s):  
Xiao Hong Lu ◽  
Zhen Yuan Jia ◽  
Zhi Cong Zhang ◽  
Xv Jia
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
High Speed ◽  
Micro Milling ◽  
Machining Accuracy ◽  
Milling Machine ◽  
Cnc Milling ◽  
Analysis Method ◽  
Motorized Spindle ◽  
Element Analysis

The fixture of motorized spindle significantly affect the vibration of micro high speed CNC milling machine, its performance can directly affect the machining accuracy of the entire micro milling machine. A special fixture of high-speed motorized spindle is designed in the paper and its static characteristics are checked by utilizing ANSYS finite element analysis software. To guarantee the sufficient strength of bolts and the safety of motorized spindle when the motorized spindle runs at high speed, theory analysis method and ANSYS finite element analysis method are used to make the strength check of the fixture. The designed special fixture for high speed motorized spindle plays an important part in the design of high-speed motorized spindle.

Experimental Study on the Cutting Performance of Ultra-Precision Micro Milling Machine

2010 ◽  
Vol 97-101 ◽  
pp. 2546-2549
Author(s):  
Peng Zhang ◽  
Li Hua Lu ◽  
Bo Wang ◽  
Ying Chun Liang
Keyword(s):  
Aluminum Alloy ◽  
Pure Copper ◽  
Cutting Performance ◽  
Micro Milling ◽  
Step Response ◽  
Milling Machine ◽  
Positioning Accuracy ◽  
Ultra Precision ◽  
Scale Step ◽  
Better Than

To meet the requirement for the machining of the ultra-precision, ultra-smooth and micro-structure surface, an ultra-precision three axes micro milling machine was developed with the positioning accuracy better than ±0.25μm and the repetitive positioning accuracy better than ±0.2μm of all the three axes. The machine is proved to achieve the nanometer scale step response. Through milling experiments with micro-diameter tungsten carbide milling tool, the cutting performance has been further proved: the milling accuracy of 50μm-high step on the workpiece of aluminum alloy is better than ±0.3μm; and the 3D surface of pure copper workpiece is as smooth as mirror, with a roughness reaching 40nm. At last, the thin-walled structure of 10μm thickness on the workpiece of aluminum alloy is milled.

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