Relevant bibliographies by topics / Milling machinery – Automation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Milling machinery – Automation'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Milling machinery – Automation"

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Kiss, Márk, and Mátyás Andó. "Automatic Manufacturing Cell in Cyber-physical System." Periodica Polytechnica Mechanical Engineering 64, no. 4 (2020): 336–41. http://dx.doi.org/10.3311/ppme.16623.

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Such manufacturing cells, that need to be able to produce high quantity and variety workpieces, the automatic workpiece handling is indispensable to stay in competition. A real manufacturing cell’s simulation in a cyber-physical system can help the decisions-making in the production, as we receive real data with the simulation of the scenarios. Our manufacturing cell consists of a 6-axis robot, 2 CNC milling machines and 4 conveyors. We tested 10 different scenarios, during which we analyzed the usage of the robot and the milling machines. By upgrading the tools, used for milling, we could reduce the cycle time of the workpieces. Furthermore, one more milling machine could be integrated into the cell due to the low usage of the robot or the speed of the robot could be lowered. Besides, filling the pallets with the same workpieces was the most effective way, however, with mixed workpieces we reached better results when we used optimization for cycle time. In these cases, reducing the order quantity to a daily amount did not cause any capacity reduction.
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Deng, Xiang Zhou, and Tao Xue. "Index Plate Special Milling Machine PLC Control System Design." Advanced Materials Research 971-973 (June 2014): 540–43. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.540.

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This article describes a technique for the use of advanced PLC indexing plate milling machine tools for transformation of the program ; and describes the basic principles of PLC , PLC engineering steps. The system uses Mitsubishi FX2N series PLC as the control center , the entire system using PLC controlled hydraulic valves to achieve the grinding head , under the table up, down , hydraulic cylinders translocation, hydraulic cylinders reset function , enabling Rotary milling machine dedicated automation control system.
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H N, Sukanya. "Automation of Milling and Drilling Machine using PLC." International Journal for Research in Applied Science and Engineering Technology 8, no. 1 (2020): 735–41. http://dx.doi.org/10.22214/ijraset.2020.1127.

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Yamamoto, Takamasa, Ryo Matsuda, Masatoshi Shindou, Toshiki Hirogaki, and Eiichi Aoyama. "Monitoring of Vibrations in Free-Form Surface Processing Using Ball Nose End Mill Tools with Wireless Tool Holder Systems." International Journal of Automation Technology 15, no. 3 (2021): 335–42. http://dx.doi.org/10.20965/ijat.2021.p0335.

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Monitoring technologies have attracted attention in the factory automation fields that rely on the Internet of Things (IoT). However, it is difficult to monitor the process information from a round machining tool during rotating operations. Therefore, we developed a novel tool holder equipped with a wireless communication function to monitor tool vibrations. In the present study, we attempt to measure the tool holder vibrations during ball nose end milling processes using the servo driving information for different machine tools. We demonstrate that, using the developed tool holder with a wireless system, it is feasible to improve the machined free form surface by considering the servo driving information.
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Wang, Xi, Hui Yu, and Wei Wu Zhong. "Acoustic Emission and Vibration Analysis of Process of Hard Dry Milling." Advanced Materials Research 97-101 (March 2010): 1915–19. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.1915.

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The monitoring of hard dry milling process is a key issue for ensuring better use of machine-tool capability,Finding a appropriate sensor and signal process method which is sensitive to changes of machining condition,is an essential step towards hard milling automation and computer-integration pursuing high productivity of system and quality of its products. In this study,Sensorial information from relevant sensors(accelerometer and Acoustic emission (AE))is processed by the wavelet transform and wavelet package transform,the result show that AE signal is sensitive to changes of machining parameter(machining velocity) in hard dry milling,but the vibration (acceleration) signal make a slowness responses to this .
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Denkena, B., B. Bergmann, T. Lepper, et al. "Ein Roboter für die effiziente Zerspanung*/A robot for efficient milling operations - Cutting of carbon fibre reinforced plastics using a new machine kinematic." wt Werkstattstechnik online 109, no. 03 (2019): 194–98. http://dx.doi.org/10.37544/1436-4980-2019-03-92.

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Kohlefaserverstärkte Kunststoffe werden verstärkt in der Luft- und Raumfahrt sowie in der Automobilindustrie eingesetzt, um durch Leichtbau die Energieeffizienz zu verbessern. Die spanende Nachbearbeitung dieser Teile ist besonders bei Funktionsflächen zwingend erforderlich und beeinflusst die Stückkosten wesentlich. Mit einer neu entwickelten Werkzeugmaschinenkinematik, einer von Beginn an berücksichtigten Absaugung sowie einem hohen Automatisierungsgrad sollen die Fertigungskosten gesenkt werden.   In aerospace and automobile industry, fibre reinforced plastics are commonly used to reduce the energy consumption of vehicles and airplanes by means of lightweight construction. Functional surfaces on parts made of fibre reinforced plastics need to be machined by milling operations, which increases production costs per piece. Thus, a new cost-efficient machine tool has been developed with a built-in extraction and a high degree of automation.
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Qi, Feng Lian, Zhi Li Sun, and Min Zhao. "The Research of Automatic Measuring System on Stone Milling Force." Applied Mechanics and Materials 16-19 (October 2009): 1005–9. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1005.

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The automatic measuring system of stone milling force is studied in the article. The columned diamond milling cutters are used to mill stone on NC milling machines. Through analyzing the milling force, the mathematic model is established. Combining the measuring force index, the experimental facility of the automatic measuring system is established and solving methods of the key problems on the software data acquisition is detailed. The system is utilized to measure three component force of milling, that is, horizontal force, vertical force and axial force. Reliable data is acquired. Finally the automatic acquisition of data and the drawing of curve are realized. The achievement of automatic measurement of stone milling force provides theory basis for the further research on the wearing characteristics of diamond cutters, cutting quality of stones and the optimizing of processing technological parameter etc.
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Skrypka, Kateryna, and Paolo Bosetti. "Application of Optimal Control Problem for Surface Roughness Improvement in Milling." Key Engineering Materials 651-653 (July 2015): 1217–22. http://dx.doi.org/10.4028/www.scientific.net/kem.651-653.1217.

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This paper presents an improvement of the approach for increasing automation level of CNC machines by using a supervising controller that, for a given toolpath, tool geometry, and workpiece material, calculates the optimal sequence of controls. The developed system, based on three steps: process simulation, solution of the optimal control problem (OCP), and state reconstruction with state learning, is improved while reformulating the OCP by taking into account the surface roughness.
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Du, Juan, Xian Guo Yan, and Zhi Chen. "A Multi-Agent Based Tool Path Planning Method for STEP-NC Compliant Milling." Advanced Materials Research 97-101 (March 2010): 3382–86. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3382.

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Today a new model of data transfer between CAD/CAM systems and CNC machines, called STEP-NC, is being developed by the ISO technical Committees. It overcomes the shortcomings of ISO 6983 by specifying machining processes rather than machine motion, using the object-oriented concept of working step. Although the STEP-NC contains abundant geometry information of part and associated process parameters, the tool path is general not included in the STEP-NC program. So before the beginning of the STEP-NC-compliant CNC machining, the tool path should be firstly designed. By analyzing the characteristic of STEP-NC data model for milling, a working step-oriented tool path planning method for milling was proposed in this paper, and the distributed artificial intelligence methods, namely collaborative multi-agent was employed to accomplish tool path planning. Firstly a multi-agent architecture was constructed to allow multiple agents to work cooperatively to realize automation of tool path planning, and then, the function of every kind of agent and the communication between the agents were all described in detail. At last, one test component was designed and simulated to demonstrate the capabilities of this research in the paper.
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Yang, D. C. H., and Jui-Jen Chou. "Automatic Generation of Piecewise Constant Speed Motion with Smooth Transition for Multi-Axis Machines." Journal of Mechanical Design 116, no. 2 (1994): 581–86. http://dx.doi.org/10.1115/1.2919417.

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This paper presents a general theory on generating a smooth motion profile for the coordinated motion of five-axes CNC/CMM machines. Motion with constat speed is important and required in many manufacturing processes, such as milling, welding, finishing, and painting. In this paper, a piecewise constant speed profile is constructed by a sequence of Hermite curves to form a composite Hermite curve in parametric domain. Given the continuity of acceleration in our proposed speed profile, it generates relatively better product quality than traditional techniques. We also provide a method for the feasibility study of manufacturing capability in terms of the given machine, the desired path, and the assigned speed. We consider machine dynamics, actuator limitation, path geometry, jerk constraints, and motion kinematics.
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Dissertations / Theses on the topic "Milling machinery – Automation"

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Vavrík, Michal. "Návrh a implementace řídícího programu pro CNC obráběcí stroj prostřednictvím B&R Automation." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-416642.

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The aim of the diploma thesis is the robotization of a conventional milling machine to a CNC milling machine using a programmable logic controller. The theoretical part of the thesis contains a description of machine tools and industry 4.0, an overview of Optimum Maschinen and B&R Automation companies, including products, and a description of the G code programming language. At the beginning of the practical part, the selected hardware, its connection and tuning of motors are described. Furthermore, the practical part explains the method of motor control and processing of CNC programs in G code. The following chapters discuss the creation of industrial visualizations for machine control and digital twin for testing purposes. The conclusion describes the evaluation of the results and indicates the possibilities for future expansion of the machine and its implementation in an automated cell in the sense of industry 4.0.
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Kopeloff, Leonardo. "Modern control theory application in mill main drive design." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/50037.

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Modern Control Theory is applied to analyze an existing aluminum mill drive, which was originally designed by Classical Methods. The system is studied with Optimal Control and z-transform zero-pole locus tools. The results and also the original design are compared with the performance of simulation. The models are built with the transition matrix and iterative procedures. Conclusions about the appropriated design methods and improvements to the control scheme result from the investigation.<br>Master of Science<br>incomplete_metadata
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Láznička, Petr. "Manipulační nástrojová jednotka." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232125.

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The thesis is focus on design solutions of automatic tool changer for CNC vertical milling machine SLV 300 in cooperation with the design company IMC/Engineering s. r. o. The main goal of theses is the creation of several design variants based on the critical research of similar machinery and the subsequent choice of the most appropriate solution. The assessment of the various options is done with amount of the changes caused on the existing design of the machine. It is essential the suitability of the solution from the perspective of the customer's company SolidVision s. r. o. Design solution is being designed for the possibility of a presentation device with unique features in its class, which is meant to be a simple maintenance free design with the possibility of easy service access For the chosen solution of the automatic tool changer are by calculation verified by the most exposed part of the device. In the thesis is also design documentation, for a better understand of the design solution.
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李振發. "The implementation of traditional milling machine automation with DC servo motor control." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/85901070912049529003.

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Muller, Bernard. "Development of a model predictive controller for a milling circuit." Diss., 2000. http://hdl.handle.net/2263/24424.

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Please read the abstract (Synopsis) in the section, 00front, of this document<br>Dissertation (M Eng (Control Engineering))--University of Pretoria, 2008.<br>Chemical Engineering<br>MEng<br>unrestricted
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Huang, Bo-Yu, and 黃柏育. "A Study on Efficiency of ABB Robot-Based Automatic Production for an Example : Drilling and Milling Machine." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/d5v3xz.

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碩士<br>南開科技大學<br>車輛與機電產業研究所<br>102<br>This dissertation proposed an integration methodology in which traditional industry processing machine integrates automated technigue to promote the efficiency of automation production. Generally, traditional industry processing machine can be broadly divided into the lathe machine, milling machine, planer, grinder, drill press etc. Efficient production emphasizes the characteristic of faster and higher accuracy. Robot arm can achieve the heed under rigorous condition. The ABB robot fits the need of high-efficiency automation. In this research, the analyses of robot hardware and software applications, signal connection and machine communication of mechatronics systems are illustrated. The unmanned process will be an exploring issue in the future.
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Books on the topic "Milling machinery – Automation"

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Ow, Clemens P. von. Automation of the depth control of a peat milling machine. University College Dublin, 1996.

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Condon, Sean F. Automatic depth control of a peat triple miller. University College Dublin, 1999.

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Smid, Peter. CNC control setup for milling and turning: Mastering CNC control systems. Industrial Press Inc., 2010.

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Galfarsoro, Unai. The automatic operation of CNC milling machines. 1993.

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Book chapters on the topic "Milling machinery – Automation"

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He, Zhaopeng, and Tielin Shi. "Multi-sensor Fusion Technology and Machine Learning Methods for Milling Tool Wear Prediction." In Advances in Intelligent Automation and Soft Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81007-8_68.

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Nithyanandam, Ganesh Kumar, Saravana Kumar Sellappan, and Selvaraj Ponnumuthu. "A Cyber-Physical System Improves the Quality of Machining in CNC Milling Machine—A Case Study." In Advances in Forming, Machining and Automation. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9417-2_34.

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Liang, Yu-Teng, and Yih-Chih Chiou. "Taguchi Analysis of Milling Wear Automatic Monitoring System Based on Machine Vision Technique." In Next-Generation Applied Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02568-6_70.

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Seidelson, Craig Eric. "Automation 4.0." In Advances in Computational Intelligence and Robotics. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5879-9.ch002.

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Factories have employed automation for nearly 100 years. With the launch of Industry 4.0 in 2011, operations have expanded their use of robots on an unprecedented scale. As of 2017, there were roughly 2 million industrial robots in use globally. By 2030, it's estimated that 20 million manufacturing jobs around the world could be replaced by robots. Yet, substantial hurdles remain before predicted level of automation can be realized. On the one hand, smart factories are almost exclusively multibillion-dollar enterprises. Their costs are simply too high for most manufacturers. On the other hand, intelligent machines are limited in what they can do because so many of the engineering tasks required to support them are still being done by people. Widespread use of automation requires expanding the use of artificial intelligence to manage data, create drawings, evaluate designs, and program machines.
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"Static Analysis and Size Optimization for the Bed of Gantry Milling Machine based on ANSYS Workbench." In Current Trends in Computer Science and Mechanical Automation Vol.2. De Gruyter Open Poland, 2017. http://dx.doi.org/10.1515/9783110584998-033.

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Pai, Srinivasa P., and Nagabhushana T. N. "Tool Condition Monitoring Using Artificial Neural Network Models." In Handbook of Research on Emerging Trends and Applications of Machine Learning. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9643-1.ch026.

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Tool wear is a major factor that affects the productivity of any machining operation and needs to be controlled for achieving automation. It affects the surface finish, tolerances, dimensions of the workpiece, increases machine down time, and sometimes performance of machine tool and personnel are affected. This chapter deals with the application of artificial neural network (ANN) models for tool condition monitoring (TCM) in milling operations. The data required for training and testing the models studied and developed are from live experiments conducted in a machine shop on a widely used steel, medium carbon steel (En 8) using uncoated carbide inserts. Acoustic emission data and surface roughness data has been used in model development. The goal is for developing an optimal ANN model, in terms of compact architecture, least training time, and its ability to generalize well on unseen (test) data. Growing cell structures (GCS) network has been found to achieve these requirements.
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Pai, Srinivasa P., and Nagabhushana T. N. "Tool Condition Monitoring Using Artificial Neural Network Models." In Research Anthology on Artificial Neural Network Applications. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch019.

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Tool wear is a major factor that affects the productivity of any machining operation and needs to be controlled for achieving automation. It affects the surface finish, tolerances, dimensions of the workpiece, increases machine down time, and sometimes performance of machine tool and personnel are affected. This chapter deals with the application of artificial neural network (ANN) models for tool condition monitoring (TCM) in milling operations. The data required for training and testing the models studied and developed are from live experiments conducted in a machine shop on a widely used steel, medium carbon steel (En 8) using uncoated carbide inserts. Acoustic emission data and surface roughness data has been used in model development. The goal is for developing an optimal ANN model, in terms of compact architecture, least training time, and its ability to generalize well on unseen (test) data. Growing cell structures (GCS) network has been found to achieve these requirements.
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Selvakuberan, K., M. Indra Devi, and R. Rajaram. "Classification of Web Pages Using Machine Learning Techniques." In Machine Learning. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch105.

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The explosive growth of the Web makes it a very useful information resource to all types of users. Today, everyone accesses the Internet for various purposes and retrieving the required information within the stipulated time is the major demand from users. Also, the Internet provides millions of Web pages for each and every search term. Getting interesting and required results from the Web becomes very difficult and turning the classification of Web pages into relevant categories is the current research topic. Web page classification is the current research problem that focuses on classifying the documents into different categories, which are used by search engines for producing the result. In this chapter we focus on different machine learning techniques and how Web pages can be classified using these machine learning techniques. The automatic classification of Web pages using machine learning techniques is the most efficient way used by search engines to provide accurate results to the users. Machine learning classifiers may also be trained to preserve the personal details from unauthenticated users and for privacy preserving data mining.
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Nagy, Tamás Dániel, and Tamás Haidegger. "Autonomous Surgical Robotics at Task and Subtask Levels." In Advanced Robotics and Intelligent Automation in Manufacturing. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1382-8.ch011.

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The revolution of minimally invasive procedures had a significant influence on surgical practice, opening the way to laparoscopic surgery, then evolving into robotics surgery. Teleoperated master-slave robots, such as the da Vinci Surgical System, has become a standard of care during the last few decades, performing over a million procedures per year worldwide. Many believe that the next big step in the evolution of surgery is partial automation, which would ease the cognitive load on the surgeon, making them possible to pay more attention on the critical parts of the intervention. Partial and sequential introduction and increase of autonomous capabilities could provide a safe way towards Surgery 4.0. Unfortunately, autonomy in the given environment, consisting mostly of soft organs, suffers from grave difficulties. In this chapter, the current research directions of subtask automation in surgery are to be presented, introducing the recent advances in motion planning, perception, and human-machine interaction, along with the limitations of the task-level autonomy.
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Engemann, Heiko, Shengzhi Du, Stephan Kallweit, Chuanfang Ning, and Saqib Anwar. "AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation." In Machine Learning and Artificial Intelligence. IOS Press, 2020. http://dx.doi.org/10.3233/faia200770.

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We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.
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Conference papers on the topic "Milling machinery – Automation"

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Henderson, Andrew, Cristina Bunget, and Thomas Kurfess. "Integration of On-Machine Measurements in the Force Modeling for Machining of Advanced Nickel-Based Superalloys." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7247.

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Nickel-based superalloys are specially designed for applications where high strength, creep resistance, and oxidation resistance are critical at high temperatures. Many of their applications are the hot gas sections of turbo-machinery (e.g. jet engines and gas turbines). With greater demands on the performance and efficiency of these types of machines, the firing temperatures are reaching higher levels and nickel-based superalloys are being utilized more because of their excellent mechanical qualities at extreme temperatures. However, the properties that make them attractive for these applications present difficult challenges for the manufacture, particularly machining, of the components that are made from these materials. Considering the extreme environment that these components operate in, part quality, in particular surface quality, is paramount. The damage and stresses introduced to the surfaces of these components during manufacture needs to be well understood and controlled in order to ensure that premature component and machine failures do not occur. With improved process models and on-machine measurement capabilities, the in-process cutting forces and temperatures can be better understood and therefore subsurface damage can be better controlled. Since cutting forces and temperatures are direct contributors to subsurface damage, better control of these aspects would then lead to better control of subsurface damage. This paper discusses the use of on-machine touch probes to measure wear on milling tools and using those measurements to update a mechanistic force model for more accurate prediction of the cutting forces incurred during the milling of nickel-based superalloys.
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Sahay, Prateek, Janet Dong, Caleb Bisig, and Ou Ma. "Robotic Handling of Jet Engine Turbine Blade Using Collaborative Robot." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23388.

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Abstract The work discussed in this paper is a part of the project to build an automated robotic cell for removing two tabs from a Jet Engine Turbine Blade using a 3-axis CNC milling machine and for laser marking several lines of part information onto the blade body. The two tabs are extensions of the Turbine Blade, in which the necessary part information is ingrained. The part information is used as the identification of the Turbine Blade throughout its entire manufacturing process. The two tabs also serve as anchors during the milling of the body of the Turbine Blade in a 5-axis CNC machine. Once the milling of the blade body is done, the two tabs will be removed from the blade body. Removing tabs is currently being done in the same 5-axis CNC milling machine. It is expensive and wastes 5-axis machine time. Therefore, using a 3-axis CNC milling machine to remove tabs is proposed with a robot to tend machines to be cost-effective. Due to the complexity of the Turbine Blade having 3-D wavy geometry, it adds challenges in undertaking any operations on the blade with automation. As automation is becoming relevant in many industries including the Aerospace, the method discussed in this paper can be used as a general guideline for carrying out material handling tasks with a thin part of wavy geometry by using a collaborative robot.
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Morinaga, Eiji, Takuma Hara, Hidefumi Wakamatsu, and Eiji Arai. "A Method for Efficient Flexible Process Planning by Mathematical Optimization." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7237.

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Computer support technology for modern manufacturing should deal with variable situations to accomodate to high-mix low-volume manufacturing. Computer-aided process planning (CAPP) has been discussed from this point of view, and a method for flexible CAPP, which generates a new proper process plan easily when manufacturing situation has changed, was proposed for rough milling by a three-axis vertical machine. This method was enhanced to handle millings by a multiaxis vertical machine and by both vertical and horizontal machines. The basic idea of these methods is to generate all process plans and then choose the best one. In the choice process of the best plan, all of the generated plans are evaluated. However, this process requires a large computational power when employed in actual machining where products of complex shapes have to be produced. For this computational problem, this paper discusses application of the mathematical optimization framework to this choice process.
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Echave, Javier, and Jami J. Shah. "Automatic Set-up and Fixture Planning for 3-Axis Milling." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8571.

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Abstract This paper presents a pragmatic approach for automating set-up and fixture planning for 3-axis machining on CNC machines. Although the larger project encompasses automation and integration of all aspects of machining feature recognition, tolerance charting, high level (macro) planning, and detailed (micro) planning, this paper focuses only on set-up and fixture planning. Only standard modular fixtures are considered (tooling plates, rest pads, pin locators, strap clamps, and vises). In set-up planning we consider not only similar tool approach directions and processes for feature grouping, but also spatial constraints in machines, tools and fixtures. The approach presented here for fixture planning combines elements of both geometric reasoning and feature-based approaches. Set-ups are automatically planned based on the volumes to be removed in each workpiece orientation and the instantaneous state of the stock is tracked at the different stages of the proposed plan. Also verification techniques use feature information to estimate possible collisions between fixtures and volumes to be removed. The fixture planning algorithm is based on both the 3-2-1 locating principle and Vise clamping methods. The overall system architecture is modular, allowing the possibility of selective use of the modules by other developers of CAPP systems. The process planning system exploits the capabilities of commercial toolkits for geometric modeling (ACIS) and NC toolpath generation (STRATA).
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Osman, Bashir, and Haitao Zhu. "Advanced design of milling machine controller." In 2017 3rd International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2017. http://dx.doi.org/10.1109/iccar.2017.7942697.

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Yang, Jiangzhao, Dongjun Zhang, and Zexiang Li. "Modeling and Identification for High-Speed Milling Machines." In 2007 IEEE International Conference on Automation Science and Engineering. IEEE, 2007. http://dx.doi.org/10.1109/coase.2007.4341841.

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Da Silva Paz Neto, Nei, and Marcus V. Americano da Costa. "4-Axis CNC Milling Machine for Production of Dental Prosthesis." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1293.

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Abstract:
This paper presents the development of a 4-axis CNC milling machine for making dental restorations. The machine was developed to help spread knowledge about CAD/CAM to future professionals in healthcare area, including automation engineering. The CAD/CAM systems can be found in dental clinics and specialized laboratories with a high added value, as it brings reliability, precision, and speed to the prosthesis developed and, thereby, increasing the qualityof the nal product. With this high cost, not all dental professionals can have this type of technology. However, it is demonstrated the possibility of building these systems at a reduced cost and applying them to restorative dentistry. Therefore, this work results in instigating of the engineering education and training future professionals in mechatronics research with applications to the Odontology.
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8

Li, Zongze, Ryuta Sato, and Keiichi Shirase. "Sensitivity Analysis of Error Motions and Geometric Errors in the Case of Sphere-Shaped Workpiece." In 2020 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/isfa2020-9610.

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Abstract Motion error of machine tool feed axes influences the machined workpiece accuracy. However, the influences of each error sources are not identical; some errors do not influence the machined surface although some error have significant influences. In addition, five-axis machine tools have more error source than conventional three-axis machine tools, and it is very tough to predict the geometric errors of the machined surface. This study proposes a method to analyze the relationships between the each error sources and the error of the machined surface. In this study, a kind of sphere-shaped workpiece is taken as a sample to explain how the sensitivity analysis makes sense in ball-end milling. The results show that the method can be applied for the axial errors, such as motion reversal errors, to make it clearer to obverse the extent of each errors. In addition, the results also show that the presented sensitivity analysis is useful to investigate that how the geometric errors influence the sphere surface accuracy. It can be proved that the presented method can help the five-axis machining center users to predict the machining errors on the designed surface of each axes error motions.
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Fuzhong, Wu. "CNC Milling Machine Spindle Characteristics Analysis by FEM." In 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2010. http://dx.doi.org/10.1109/icicta.2010.396.

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Rathod, Nansi, Veena A. Kulkarni, and Chetan Kumbhar. "Status Monitoring System for Vertical Milling Center Machine." In 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA). IEEE, 2019. http://dx.doi.org/10.1109/iccubea47591.2019.9128430.

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