Study on the tool setting method of micro-milling tool based on in-line holography

Aiming at the various shortcomings of existing tool setting methods, this paper proposes a coaxial holographic tool setting method for tiny tools. Based on the research and analysis of the principle of holographic imaging and the key issues of holographic images, a set of holographic tool setting detection device for micro milling tool was built, and the micro milling tool measurement was carried out on the five-axis machining center using standard tools. experiment. Experimental results show that the tool setting device can efficiently perform tool setting detection of micro-milling tool. Compared with the measurement results of the high-precision external presetting instrument, the relative error of the contact tool setting instrument is 0.033%, and the relative error of the holographic tool setting prototype is 0.007%, which is more effective in realizing the tool setting of tiny tools. Detection. This result verifies the feasibility of the coaxial holographic tool setting method for micro tool, that is, holographic measurement can be used for high-precision tool setting of micro milling tool.

Research and Practice of Intelligent Tool Setting Device for CNC Milling Machine

The utilization of intelligent tool setting device of CNC milling machine can reduce the probability of tool setting error, better guarantee the normal operation of CNC milling machine and the safety of relevant operators, and avoid unnecessary losses. Based on this, this paper first analyses the coordinate system of CNC milling machine and the concept of tool setting, then studies the operation method of tool setting device of CNC milling machine, and finally gives the design and practice of intelligent tool setting device of CNC milling machine.

Computer Vision Tool-Setting System of Numerical Control Machine Tool

An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool-setting principle. A rapid vision calibration method based on the position feedback from the CNC machine was proposed on the basis of the theory of traditional vision system calibration. The coordinate mapping relationship of the image and the CNC machine, the tool-setting mark point on the workpiece, and the tool tip were calibrated. The vision system performance testing and system calibration experiments were performed. Experimental results indicated that the time consumption was 128 ms in image processing. The precision of tool setting and measuring was less than 1 μm. The workpiece positioning and processing online detection function of the system can completely meet the requirements of visual CNC machine application, and the system has wide application prospects.

On-Machine Diamond Tool Shaping to Realize Highly Efficient Ultraprecision Machining System

Tool wear is one of the critical issues which deteriorate machining accuracy in ultraprecision machining. However, tool setting errors caused by the change of worn tool during a machining operation should be carefully compensated by identifying the gaps between the ideal tool center point and the actual tool center point, which inevitably lead to low machining efficiency. Because of the long consumption time of actual tool center point detection, this study aims at achieving on-machine shaping of a diamond tool which is commonly used in ultraprecision machining. In the previous study, shaping conditions without tool chipping are investigated by using various shaping materials. Then, in order to create a flank face that is necessary to realize preferable cutting, a pin gauge made of cemented carbide is adopted as the shaper. From the conducted experiments, it is found that the proposed on-machine shaping can create a specific cutting edge and a flank face on an ultraprecision machine tool.

Surveillance Simulator for Undersea Aquaculture Monitoring

This paper deals with simulator development for an underwater aquaculture surveillance system. The aim is to prevent the intrusion of objects into the water. The simulator checks the performance of the alarm system prior to installation in the underwater surveillance system. The simulator tests virtual environments, but reliable experimental results are obtained using two different methods. First, the state space underwater intruder dynamic models is expressed to control several variables at once. Second, the sensor model is designed using a statistical approach, because detection performance decreases for a various reason when detecting objects using the sensor. This simulator uses Matlab GUI as a tool. Setting various test environments (i.e., sensor configuration and sensor detection range) allows the user to analyze the performance of the underwater surveillance system.

Compensation Method for Tool Setting Errors Based on Non-Contact On-Machine Measurement

The high-accuracy manufacturing of optical requires highly integrated ultraprecision cutting technologies. However, all sorts of small errors adversely affect machining accuracy because of the miniaturization and complexity of objects. Among these errors, slight setting errors critically impact machining accuracy because it is difficult to place a cutting tool accurately on a ultraprecision machine tool. The authors have conducted multi-axis control ultraprecision cutting based on tool setting errors compensation. In this compensation method, the workpiece must be removed from the machine tool after test cutting to measure grooves to detect actual tool positions and to calculate setting errors. However, after the workpiece is removed, it cannot be perfectly replaced on a ultraprecision machine tool. This makes it difficult to automate setting errors compensation. In order to solve these problems, tool positioning must be detected without removing the workpiece. Therefore, in this study, a novel compensation method is developed by means of non-contact measurement with a laser imaging device. Furthermore, in order to improve compensation performance, a laser imaging device is calibrated on an ultraprecision machine tool. The proposed method enables direct detection of actual tool position and calculation of the tool centerpoint coordinate on the machine coordinate system. By modifying an NC program, the tool setting errors can be finally compensated. The feasibility of the proposed compensation method is verified by conducting experiments of creating grooves.

Correction: Rasheduzzaman, M., et al. Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri. Water 2019, 11, 1850

The authors regret to report that the paper “Reverse QMRA as a Decision Support Tool: Setting Acceptable Concentration Limits for Pseudomonas aeruginosa and Naegleria fowleri” contains some erroneous computations [...]