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JMMP
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Selected Papers from LAMDAMAP 2019
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Selected Papers from LAMDAMAP 2019

A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 10894

Special Issue Editors

Prof. Dr. Liam Blunt

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Guest Editor
Department of Engineering and Technology, University of Huddersfield, Huddersfield, UK
Interests: surface metrology; manufacturing processes; precision engineering; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Wolfgang Knapp

E-Mail
Guest Editor
Engineering Office Dr. W. Knapp, CH-8226 Schleitheim, Switzerland
Interests: machine tool metrology; coordinate metrology; error budgeting

Special Issue Information

Dear Colleagues,

The 13th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine, and Machine Tool Performance (LAMDAMAP 2019 https://www.euspen.eu/events/lamdamap-2019/) will be organized by euspen, drawing together many of the world’s distinguished scientists from all areas of science, engineering, and manufacturing. Advanced machine tool metrology supports superior part production, which enables, understands, and tracks the baseline performance and accuracy of machines. Whilst the trend towards nanometer level surfaces, finishes, and features progresses, the matching of both form and finish coherently in complex parts remains a major challenge. This year, the conference will focus on novel manufacturing technologies and machine tools, new developments in measurement techniques, performance evaluation for machine tools and coordinate measuring machines, roughness and machine tool standards, and metrology in new fabrication techniques, such as additive manufacturing.

The authors of selected high standard research contributions from the conference will be invited to submit their original papers and contributions under the following conference topics, which include, but are not limited to the following:

Novel manufacturing technologies and machine tools

New developments in measurement techniques

Performance evaluation for machine tools and CMMs

Roughness and machine tool standards

Metrology in new fabrication techniques

Robotics in shop-floor gauging

Prof. Dr. Liam Blunt
Dr. Wolfgang Knapp
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Manufacturing and Materials Processing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

12 pages, 4376 KiB  
Article
Precision Core Temperature Measurement of Metals Using an Ultrasonic Phase-Shift Method
by Olaide F. Olabode, Simon Fletcher, Andrew P. Longstaff and Naeem S. Mian
J. Manuf. Mater. Process. 2019, 3(3), 80; https://doi.org/10.3390/jmmp3030080 - 4 Sep 2019
Cited by 6 | Viewed by 3240
Abstract
Temperature measurement is one of the most important aspects of manufacturing. There have been many temperature measuring techniques applied for obtaining workpiece temperature in different types of manufacturing processes. The main limitations of conventional sensors have been the inability to indicate the core [...] Read more.
Temperature measurement is one of the most important aspects of manufacturing. There have been many temperature measuring techniques applied for obtaining workpiece temperature in different types of manufacturing processes. The main limitations of conventional sensors have been the inability to indicate the core temperature of workpieces and the low accuracy that may result due to the harsh nature of some manufacturing environments. The speed of sound is dependent on the temperature of the material through which it passes. This relationship can be used to obtain the temperature of the material provided that the speed of sound can be reliably obtained. This paper investigates the feasibility of creating a cost-effective solution suitable for precision applications that require the ability to resolve a better than 0.5 °C change in temperature with ±1 °C accuracy. To achieve these, simulations were performed in MATLAB using the k-wave toolbox to determine the most effective method. Based upon the simulation results, experiments were conducted using ultrasonic phase-shift method on a steel sample (type EN24T). The results show that the method gives reliable and repeatable readings. Based on the results from this paper, the same setup will be used in future work in the machining environment to determine the effect of the harsh environment on the phase-shift ultrasonic thermometry, in order to create a novel technique for in-process temperature measurement in subtractive manufacturing processes. Full article
(This article belongs to the Special Issue Selected Papers from LAMDAMAP 2019)
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23 pages, 3226 KiB  
Article
Enhancing Signal Quality of Capacitive Displacement Measurements in Machine Tool Environments
by Sebastian Böhl, Sascha Weikert and Konrad Wegener
J. Manuf. Mater. Process. 2019, 3(3), 76; https://doi.org/10.3390/jmmp3030076 - 30 Aug 2019
Cited by 1 | Viewed by 3109
Abstract
Capacitive displacement sensors are a valuable choice for high accuracy geometric spindle measurements. Although these sensors show the specified performance in electromagnetic friendly environments, the performance may degrade drastically in machine tool environments due to electromagnetic disturbances. An in-situ testing procedure based on [...] Read more.
Capacitive displacement sensors are a valuable choice for high accuracy geometric spindle measurements. Although these sensors show the specified performance in electromagnetic friendly environments, the performance may degrade drastically in machine tool environments due to electromagnetic disturbances. An in-situ testing procedure based on a cap test setup is proposed, which enables a simplified error diagnosis and verification of sensor performance. The functionality of the device and the application to different practical cases are presented. The results of these tests suggest that a decisive part of disturbances may couple into the measurement system via electrical conduction at interfaces between the machine tool and measurement device parts. Disturbances originate in the power electronics of the machine tool and are passed on to the safety ground of the machine tool, which is connected to all structural components of the machine tool. The proposed counter measure targets a complete galvanic separation of the measurement system from machine tool parts. The effectiveness of this counter measure was verified in different tests on two different machine tools. It is shown that the application of the galvanic separation leads to a comparable sensor performance in machine tool environments as achieved by the manufacturer under calibration conditions. Full article
(This article belongs to the Special Issue Selected Papers from LAMDAMAP 2019)
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12 pages, 12002 KiB  
Article
Process Analysis on Milled Optical Surfaces in Hardened Stainless Steel
by Marvin Groeb and Matthias Fritz
J. Manuf. Mater. Process. 2019, 3(3), 67; https://doi.org/10.3390/jmmp3030067 - 6 Aug 2019
Cited by 2 | Viewed by 3902
Abstract
The capability to produce surfaces in optical quality is of rising prominence in the manufacturing industry. The die and mold industry have to meet rising requirements with regard to the surface finish and geometric precision, to keep pace with technological advances in sectors [...] Read more.
The capability to produce surfaces in optical quality is of rising prominence in the manufacturing industry. The die and mold industry have to meet rising requirements with regard to the surface finish and geometric precision, to keep pace with technological advances in sectors such as illumination, optical sensors, and fiber technology. This paper focuses on the challenges of developing a sample milling process for optical surface finishes in 53 HRC STAVAX stainless steel. Besides the expected process and tooling parameter variations, three prominent material analytics methods were used to evaluate all experiments. The tool wear was analyzed and monitored via SEM and EDS. To verify the milling process capabilities, a sample was produced through manual polishing and then analyzed for material faults via nanoindentation and BSE analysis. The finished results were measured for their surface roughness via bifocal laser microscopy and for their topography SEM. In the practical application, a surface roughness Ra in the single digit nano-meter range was achieved. A stable finishing process was achieved at high rotational speed with feed rates up to 750 mm/min. A practical cleaning solution with the use of a mild lye was found. Full article
(This article belongs to the Special Issue Selected Papers from LAMDAMAP 2019)
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