Measurement Potential of the Barkhausen Effect for Obtaining Additional Information on the Component Condition in Manufacturing

2021 ◽  
Vol 76 (5) ◽  
pp. 370-382
Author(s):  
C. Krause ◽  
D. Fehrenbach ◽  
L. Wolf ◽  
M. T. Kiesewetter ◽  
C. Radek ◽  
...  
Keyword(s):  
Ferromagnetic Material ◽  
Barkhausen Noise ◽  
Work Piece ◽  
Production Volume ◽  
Barkhausen Effect ◽  
Destructive Testing ◽  
Additional Information ◽  
High Production Volume ◽  
Heat Treated ◽  
High Production

Abstract The measurement of Barkhausen noise is one of the non-destructive testing methods which allows the use within the production line and within the cycle time at a high production volume. The aim of the present study was to answer the question, whether it is possible to extract the informations that the Barkhausen noise includes, concerning work-piece conditions, from the signal characteristic and more important assigning these findings. Therefore, soft machined and heat treated shaft components made of the ferromagnetic material Cf53 (1.1213) were analyzed to find characteristics in the Signal that allow to separate clearly an increase in temperature of the tested area from a change in the microstructure. For this purpose the shafts were analyzed at higher temperatures (up to 80 °C) and after an additional annealing process (to change the microstructure specifically). Both investigated situations (higher temperature and modified microstructure) showed different characteristic in the Barkhausen signal, thus an assigning is possible. Metallographic investigation and hardness measurements has been carried out to support the results.

DRX

Alloy Digest ◽  
2005 ◽  
Vol 54 (12) ◽  
Keyword(s):  
Wear Resistance ◽  
High Temperature ◽  
Heat Treating ◽  
Production Volume ◽  
Annealed Condition ◽  
Temperature Performance ◽  
High Production Volume ◽  
Heat Treated ◽  
High Production ◽  
Wear Condition

Abstract DRX is similar to AISI S7. It has a higher carbon content and is alloyed with 3.25% Cr and 1.4% Mo for emphasis on good wear resistance. DRX is typically used for inserts or smaller molds in applications requiring high production volume, or molds subjected to high-wear condition. It is supplied in the annealed condition and typically heat treated to a hardness of 45 HRC or greater after machining. This datasheet provides information on composition and hardness. It also includes information on high temperature performance as well as forming and heat treating. Filing Code: TS-624. Producer or source: A. Finkl & Sons Company.

scholarly journals Estimating the Impact of High-Production-Volume Chemicals on Remote Ecosystems by Toxic Pressure Calculation

2006 ◽  
Vol 40 (5) ◽  
pp. 1573-1580 ◽  
Author(s):  
Jasper V. Harbers ◽  
Mark A. J. Huijbregts ◽  
Leo Posthuma ◽  
Dik van de Meent
Keyword(s):  
Production Volume ◽  
High Production Volume ◽  
Pressure Calculation ◽  
High Production ◽  
The Impact

scholarly journals Animal Use and Lessons Learned in the U.S. High Production Volume Chemicals Challenge Program

2012 ◽  
Vol 120 (12) ◽  
pp. 1631-1639 ◽  
Author(s):  
Patricia L. Bishop ◽  
Joseph R. Manuppello ◽  
Catherine E. Willett ◽  
Jessica T. Sandler
Keyword(s):  
Lessons Learned ◽  
Production Volume ◽  
High Production Volume ◽  
Animal Use ◽  
High Production ◽  
The U.S

The High Production Volume Challenge Program

2006 ◽  
pp. 1-19
Author(s):  
Richard Hefter ◽  
Barbara Leczynski ◽  
Charles Auer
Keyword(s):  
Production Volume ◽  
High Production Volume ◽  
High Production ◽  
Volume Challenge

Integrating Impedance Control and Learning Based Search Scheme for Robotic Assemblies Under Uncertainty

2018 ◽  
Author(s):  
Rishi K. Malhan ◽  
Yash Shahapurkar ◽  
Ariyan M. Kabir ◽  
Brual Shah ◽  
Satyandra K. Gupta
Keyword(s):  
Search Strategy ◽  
Small Volume ◽  
Impedance Control ◽  
Production Volume ◽  
Control Parameters ◽  
Robotic Arms ◽  
High Production Volume ◽  
High Production ◽  
Assembly Operations ◽  
Assembly Tasks

Using fixtures for assembly operations is a common practice in manufacturing processes with high production volume. For automated assembly cells using robotic arms, trajectories are programmed manually and robots follow the same path repeatedly. It is not economically feasible to build fixed fixtures for small volume productions as they require high accuracy and are part specific. Moreover, hand coding robot trajectories is a time consuming task. The uncertainties in part localization and inaccuracy in robot motions make it challenging to automate the task of assembling two parts with tight tolerances. Researchers in past have developed methods for automating the assembly task using contact-based search schemes and impedance control-based trajectory execution. Both of these approaches may lead to undesired collision with critical features on the parts. Our method guarantees safety for parts with delicate features during the assembly process. Our approach enables us to select optimum impedance control parameters and utilizes a learning-based search strategy to complete assembly tasks under uncertainties in bounded time. Our approach was tested on an assembly of two rectangular workpieces using KUKA IIWA 7 manipulator. The method we propose was able to successfully select the optimal control parameters. The learning-based search strategy successfully estimated the uncertainty in pose of parts and converged in few iterations.

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