Feeling Machine for Process Monitoring of Components with Stock Allowance

To realize the increasing automation and flexibilization of production, it is necessary to monitor component-specific characteristics under fluctuating production conditions. Signals with a high correlation to the process quality have to be evaluated. In machining, the process force is an important measurand, which is sensitive to changes in the process. Feeling machines with force-sensitive machine tool components are therefore a promising signal source to monitor the machining. However, the force is also sensitive to non-critical process fluctuations such as stock allowance. Consequently, it is necessary to perform signal pre-processing and generate features that increase the robustness of the monitoring. In this paper, the material-specific cutting force was investigated for the first time concerning its suitability for process monitoring of parts with a stock allowance. The sensitivity of confidence limits was evaluated based on the normed bandgap. For the investigation, face turning processes of 20MnCr5 were carried out. The results show that the use of material-specific cutting force improves the sensitivity of the confidence limits to process errors. In this context, the feeling machine can be used to substitute the dynamometer for process monitoring.

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Development of an Intelligent Stage with Sensor-Less Cutting Force and Torque Monitoring Function

International Journal of Automation Technology ◽

10.20965/ijat.2012.p0736 ◽

2012 ◽

Vol 6 (6) ◽

pp. 736-741 ◽

Cited By ~ 1

Author(s):

Takafumi Kamigochi ◽

◽

Yasuhiro Kakinuma ◽

Keyword(s):

Tool Wear ◽

Machine Tool ◽

Cutting Force ◽

Process Monitoring ◽

Good Condition ◽

Basic Information ◽

Monitoring Method ◽

Intelligent Machine

Intelligent machine tool is required to implement highprecision process monitoring for judging the abnormal tool conditions. Various techniques have been widely researched and studied to maintain machine tool in good condition and to detect tool wear. The occurrence of tool wear can be detected by monitoring the cutting torque, which is basic information for machining. The purpose of this study was to propose a sensor-less cutting force and torque monitoring method and to develop an intelligent stage using this method.

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Specific Cutting Force Analysis of Young Coconut Husk (Cocos nucifera)

Jurnal Keteknikan Pertanian ◽

10.19028/jtep.02.2.89-95 ◽

2014 ◽

Vol 02 (2) ◽

pp. 89-95

Author(s):

Tika Hafzara S ◽

◽

Desrial Desrial ◽

Dyah Wulandani ◽

◽

...

Keyword(s):

Cutting Force ◽

Cocos Nucifera ◽

Force Analysis ◽

Specific Cutting Force ◽

Coconut Husk

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SOFTWARE PROCESS MONITORING MECHANISMS IN OIKOS

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194094000234 ◽

1994 ◽

Vol 04 (04) ◽

pp. 481-499 ◽

Cited By ~ 1

Author(s):

C. MONTANGERO ◽

F. SCARSELLI

Keyword(s):

Process Monitoring ◽

Software Process ◽

Process Quality ◽

Process Models ◽

Software Process Models

Collecting information about the performance of a software process is a necessary step for the assessment of the process quality. Oikos is an environment for the definition and the enactment of software process models. This paper presents the Oikos approach to history recording. We define the events that compose the histories and explain how the events to be monitored can be selected. Finally, we discuss the implementation of the recording mechanism.

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Accurate and fast measurement of specific cutting force coefficients changing with spindle speed

International Journal of Precision Engineering and Manufacturing ◽

10.1007/s12541-017-0137-x ◽

2017 ◽

Vol 18 (8) ◽

pp. 1173-1180 ◽

Cited By ~ 13

Author(s):

Niccolò Grossi

Keyword(s):

Cutting Force ◽

Spindle Speed ◽

Cutting Force Coefficients ◽

Fast Measurement ◽

Specific Cutting Force ◽

Force Coefficients

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Prediction of Cutting Force in Bone Cutting Using Finite Element Analysis

Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation ◽

10.1115/msec2021-63406 ◽

2021 ◽

Author(s):

Varatharajan Prasannavenkadesan ◽

Ponnusamy Pandithevan

Keyword(s):

Finite Element Analysis ◽

Finite Element ◽

Cutting Force ◽

Material Model ◽

Tensile Tests ◽

Bovine Bone ◽

Element Analysis ◽

Cutting Processes ◽

Parameter Values ◽

First Time

Abstract In orthopedic surgery, bone cutting is an indispensable procedure followed by the surgeons to treat the fractured and fragmented bones. Because of the unsuitable parameter values used in the cutting processes, micro crack, fragmentation, and thermal osteonecrosis of bone are observed. Therefore, prediction of suitable cutting force is essential to subtract the bone without any adverse effect. In this study, the Cowper-Symonds model for bovine bone was developed for the first time. Then the developed model was coupled with the finite element analysis to predict the cutting force. To determine the model constants, tensile tests with different strain rates (10−5/s, 10−4/s, 10−3/s, and 1/s) were conducted on the cortical bone specimens. The developed material model was implemented in the bone cutting simulation and validated with the experiments.

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Modeling of instantaneous cutting force for large pitch screw with vibration consideration of the machine tool

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-020-05583-5 ◽

2020 ◽

Vol 108 (11-12) ◽

pp. 3893-3904

Author(s):

Zhe Li ◽

Xiangfu Fu ◽

Chao Li ◽

Bin Jiang ◽

Minli Zheng

Keyword(s):

Machine Tool ◽

Cutting Force

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Influence of non-ideal storage conditions on carrot moisture content loss

Progress in Agricultural Engineering Sciences ◽

10.1556/progress.4.2008.4 ◽

2008 ◽

Vol 4 (1) ◽

pp. 61-75 ◽

Cited By ~ 1

Author(s):

Tímea Kaszab ◽

Ferenc Firtha ◽

András Fekete

Keyword(s):

Moisture Content ◽

Cutting Force ◽

Storage Conditions ◽

Stiffness Coefficient ◽

Mass Reduction ◽

Good Characteristic ◽

Specific Cutting Force ◽

Color Characteristics ◽

The Impact

The objective of the work reported here was to determine changes in the moisture content, firmness characteristics, color attributes and NIR absorbance of two carrot cultivars during storage. There was a definite loss in the moisture content that caused changes in the firmness. This result shows that carrot firmness is very sensitive to the moisture content. The firmness — especially the cutting force — is a good characteristic for predicting changes in carrot moisture content during storage. The color characteristics — a* and b* — showed a slight change in the function of the moisture content. However, these color characteristics are suitable for distinguishing the phloem and xylem parts of carrot cultivars. There were not found definite changes in the NIR absorbance as the function of the moisture content. Consequently, the specific cutting force and the impact stiffness coefficient are good characteristics of the carrot moisture content and the mass reduction during storage under non-ideal conditions.

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Modeling and Simulation of Process and Structure Interactions Considering Turning Operations

ASME 2009 International Manufacturing Science and Engineering Conference, Volume 1 ◽

10.1115/msec2009-84067 ◽

2009 ◽

Cited By ~ 1

Author(s):

Michael F. Zaeh ◽

Florian Schwarz

Keyword(s):

Machine Tool ◽

Cutting Force ◽

Metal Cutting ◽

Material Behavior ◽

Force Model ◽

Machine Tool Structure ◽

Simulation Based ◽

Turning Center ◽

Simplifying Assumptions ◽

Input Variables

A consideration of the dynamic interaction between the machine tool structure and the cutting process is required for the prediction and optimization of machining tasks through simulation. This paper outlines a modular, analytical cutting force model applicable to common turning processes. It takes into account the dynamic material behavior and nonlinear friction ratios on the rake face as well as heat transfer phenomena in the deformation zones. In order to overcome simplifying assumptions in analytical cutting force descriptions and to incorporate the chip formation process into the analysis, specific input variables are determined in a metal cutting simulation based on the Finite Element Method (FEM). On the machine tool structure side, the setup of a parametric FEM model is presented. The accuracy of both the machine tool and cutting force models was verified experimentally on a turning center.

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