Many Kinds Of Tools Research Articles

Research and development of parametric design platform for series complex cutting tools

The performance of metal cutting tools directly affects the manufacturing efficiency and machining quality of products. With the increasing demands in manufacturing industry of cutting performance, machining efficiency, customization, and quick response, traditional tool design methods can no longer meet the above requirements due to many repetitive work, large amount of calculation, complex process, and low efficiency. Parametric design has become a new development direction of customized tool design because of its fast, stable, and accurate characteristics. Based on the parametric design of cutting tools, this paper develops a tool parametric design platform by using the method of secondary development of commercial CAD software. The platform realizes automatic operation in the background without commercial CAD software interface, completes the parametric modeling process of tools, generates 2D drawings and 3D models conforming to ISO 13399 standard, and realizes the cloud storage function of model data and the parametric design of many kinds of tools. Compare with that traditional modeling method, using this parametric modeling platform, the modeling efficiency is increased by 90% on average. This platform is of great significance to improve the design efficiency of complex customized tools and shorten the original design cycle by 30%.

A Novel Method for Tool Identification and Wear Condition Assessment Based on Multi-Sensor Data

The development of industry 4.0 has put forward higher requirements for modern milling technology. Monitoring the degree of milling tool wear during machine tool processing can improve product quality and reduce production losses. In the machining process of machine tools, many kinds of tools are usually used, and the signal characteristics of various sensors of different tools are different. Therefore, before the tool wear assessment, this paper identified the tool type according to the spindle current data. After the tool type recognition, this paper evaluates the tool wear degree according to the tool force data, vibration data, acoustic emission signal, and other multi-sensor data. Firstly, the Elman neural network and Adaboost algorithm are combined to construct the Elman_Adaboost strong predictor. Then, the variance and mean of seven sensor data were selected as the characteristic quantities to input the strong predictor. Finally, three wear quantities were obtained to measure the wear degree of the tool. The method proposed in this paper is implemented by Matlab, and the validity of this method is verified using the competition data provided by PHM (Prognostics and Health Management) Society. The results show that the average evaluation accuracy of the same tool wear is more than 92%, and that of the similar tool wear is more than 85%.

Fast, Flexible, Polyglot Instrumentation Support for Debuggers and other Tools

Context: Software development tools that interact with running programs such as debuggers, profilers, and dynamic analysis frameworks are presumed to demand difficult tradeoffs among implementation complexity (cost), functionality, usability, and performance. Among the many consequences, tools are often delivered late (if ever), have limited functionality, require non-standard configurations, and impose serious performance costs on running programs. Inquiry: Can flexible tool support become a practical, first class, intrinsic requirement for a modern highperformance programming language implementation framework? Approach: We extended the Truffle Language Implementation Framework, which together with the GraalVM execution environment makes possible very high performance language implementations. Truffle's new Instrumentation Framework is language-agnostic and designed to derive high performance from the same technologies as do language implementations. Truffle Instrumentation includes: (1) low overhead capture of execution events by dynamically adding "wrapper" nodes to executing ASTs; (2) extensions to the Language Implementation Framework that allow per-language specialization, primarily for visual display of values and names, among others; and (3) versatile APIs and support services for implementing many kinds of tools without VM modification. Knowledge: It is now possible for a client in a production environment to insert (dynamically, with thread safety) an instrumentation probe that captures and reports abstractly specified execution events. A probe in fully optimized code imposes very low overhead until actually used to access (or modify) execution state. Event capture has enabled construction of numerous GraalVM services and tools that work for all implemented languages, either singly or in combination. Instrumentation has also proved valuable for implementing some traditionally tricky language features, as well as some GraalVM services such as placing bounds on resources consumed by running programs. Grounding: Tools for debugging (via multiple clients), profiling, statement counting, dynamic analysis, and others are now part of GraalVM or are in active development. Third parties have also used Truffle Instrumentation for innovative tool implementations. Importance: Experience with Truffle Instrumentation validates the notion that addressing developer tools support as a forethought can change expectations about the availability of practical, efficient tools for high-performance languages. Tool development becomes a natural part of language implementation, requiring little additional effort and offering the advantage of early and continuous availability.

地球史における鉄の元素機能：鉄の元素戦略

Functionality of element iron is reviewed from a view point of evolving earth and life. Energy conversion of oxidation-reduction reaction of iron (Fe2+/Fe3+) is important for life of some bacteria and this has been continued for more than 10 billion years. Furthermore, iron has been saving life on earth by geomagnetic properties by positioning on earth's core. This most abundant metal element iron has a lot of unique properties that can be not substituted by other elements. We have been utilizing iron-carbon materials as many kinds of tools because of those widely-controllable mechanical properties. Some of magnetic, mechanical, chemical and electric properties are well known but there may be a lot of unknown properties of element iron and iron materials. Further interdiciplinary studies are suggested.

Evaluating Direct Marketing Practices on the Internet via the Fuzzy Cognitive Mapping Method

Many kinds of tools are used in direct marketing applications on the Internet with e-mail and the being the most important among these. On the other hand, the Internet brings some negative factors like spam and virus. Naturally these factors affect direct marketing applications on the Internet negatively. The objective of the present study is to evaluate these factors, which are carried out in this application. To reach this goal, a fuzzy cognitive mapping method is made use of in the study.

A Definition of Petroleum Engineering

A Definition of Petroleum Engineering