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Kayol, B., Abu-Ghunmi, D., Abu-Ghunmi, L., Archenti, A., Nicolescu, M., Larkin, C. & Corbet, S. (2019). An economic index for measuring firm's circularity: The case of water industry. Journal of Behavioral and Experimental Finance, 21, 123-129
Open this publication in new window or tab >>An economic index for measuring firm's circularity: The case of water industry
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2019 (English)In: Journal of Behavioral and Experimental Finance, ISSN 2214-6350, E-ISSN 2214-6369, Vol. 21, p. 123-129Article in journal (Refereed) Published
Abstract [en]

Transition toward circular-economy model is a must to sustain the planet sources. Under circular economy model wastewater is transformed from a ste into a resource. Therefore, a comprehensive circular economy dex; the Circonomics Index, is proposed to measure circularity of stewater industry. The component indicators of the index are linked rectly to the three Rs; reduce, reuse and recycle, of circular onomy. The novelty of the proposed Index is that it uses objectively nstructed weights that reflect the environmental benefits of the eatment process, and the index captures the reuse and recycling ficiency of an WWTP, which reflect the specific nature of wastewater. e findings show that treatment technology is a major factor in termining the production efficiency, reuse rate and recycling rformance of a WWTP. The results of using the Circonomics Index have ofound implication for policy makers to speed up the process of moving a circular economy.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Reduce, Reuse, Recycle, Circonomics index, Wastewater
National Category
Other Environmental Engineering
Identifiers
urn:nbn:se:kth:diva-248349 (URN)10.1016/j.jbef.2018.11.007 (DOI)000461743500013 ()2-s2.0-85057611694 (Scopus ID)
Note

QC 20190405

Available from: 2019-04-05 Created: 2019-04-05 Last updated: 2019-04-05Bibliographically approved
Theissen, N. A., Laspas, T. & Archenti, A. (2019). Closed-force-loop elastostatic calibration of serial articulated robots. Robotics and Computer-Integrated Manufacturing, 57, 86-91
Open this publication in new window or tab >>Closed-force-loop elastostatic calibration of serial articulated robots
2019 (English)In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 57, p. 86-91Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel methodology to measure the compliance of articulated serial robots based on the Elastically Linked Systems concept. The idea behind the methodology is to measure serial articulated robots with customized external wrench vectors under a closed-force-loop. The methodology proposes to measure robots in use-case defined configurations to increase the effect of the identified model parameters on their later implementation. The measurement methodology utilizes the Loaded Double Ball Bar to customize wrench vectors and a laser tracker to measure the system response. In particular, the Loaded Double Ball Bar creates the closed-force-loop to create a flow of forces similar to the intended application of the robot. The methodology is applied to an industrial robot with six rotary joints using the LDBB and a laser tracker. Finally, the paper ends on a discussion about the implementation of the model parameters to improve the accuracy of robots as well as challenges to realize a more cost efficient elastostatic calibration.

Keywords
Industrial robot Compliance Closed-loop loaded testing
National Category
Mechanical Engineering
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-239611 (URN)10.1016/j.rcim.2018.07.007 (DOI)000459525400007 ()2-s2.0-85056879522 (Scopus ID)
Note

QC 20181210

Available from: 2018-11-27 Created: 2018-11-27 Last updated: 2019-10-10Bibliographically approved
Szipka, K., Archenti, A., Vogl, G. W. & Donmez, M. A. (2019). Identification of machine tool squareness errors via inertial measurements. CIRP annals, 68(1), 547-550
Open this publication in new window or tab >>Identification of machine tool squareness errors via inertial measurements
2019 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 68, no 1, p. 547-550Article in journal (Refereed) Published
Abstract [en]

The accuracy of multi-axis machine tools is affected to a large extent by the behavior of the system's axes and their error sources. In this paper, a novel methodology using circular inertial measurements quantifies changes in squareness between two axes of linear motion. Conclusions are reached through direct utilization of measured accelerations without the need for double integration of sensor signals. Results revealed that the new methodology is able to identify squareness values verified with traditional measurement methods. The work supports the integration of sensors into machine tools in order to reach higher levels of measurement automation. behalf of CIRP.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV, 2019
Keywords
Measurement, Machine tool, Squareness error
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-255510 (URN)10.1016/j.cirp.2019.04.070 (DOI)000474213500137 ()2-s2.0-85065523357 (Scopus ID)
Note

QC 20191016

Available from: 2019-10-16 Created: 2019-10-16 Last updated: 2019-10-16Bibliographically approved
Szipka, K. & Archenti, A. (2019). Utilization of Multi-Axis Positioning Repeatability Performance in Kinematic Modelling. International Journal of Automation Technology, 13(1), 149-156
Open this publication in new window or tab >>Utilization of Multi-Axis Positioning Repeatability Performance in Kinematic Modelling
2019 (English)In: International Journal of Automation Technology, ISSN 1881-7629, E-ISSN 1883-8022, Vol. 13, no 1, p. 149-156Article in journal (Refereed) Published
Abstract [en]

Detailed description of the multi-axis repeatability performance and the modelling of non-systematic variations in the positioning performance of machine tools can support the understanding of root-causes of capability variations in manufacturing processes. Kinematic characterization is implemented through repeated measurements, which include variations related to the performance of the machine tool. This paper addresses the integration of the positional repeatability in kinematic modelling through the employment of direct measurement results. The findings of this research can be used to develop standardized approaches. The statistical population of random errors along the multi-axis travel first requires the proper management of experimental data. In this paper a methodology and its application are presented for the determination of repeatability under static and unloaded conditions as an inhomogeneous parameter in the work space. The proposed approach is demonstrated in a case study, where the component errors of a linear axis are investigated with repeated laser interferometer measurements to quantify the estimated repeatability and express it in the composed repeatability budget. The conclusions of the proposed methodology outline the sensitivity of kinematic models relying on measurement data, as the repeatability of the system can be in the same magnitude as the systematic errors.

Place, publisher, year, edition, pages
FUJI TECHNOLOGY PRESS LTD, 2019
Keywords
machine tool repeatability, uncertainty estimation, kinematic modelling
National Category
Signal Processing
Identifiers
urn:nbn:se:kth:diva-242247 (URN)10.20965/ijat.2019.p0149 (DOI)000455203400019 ()
Note

QC 20190129

Available from: 2019-01-29 Created: 2019-01-29 Last updated: 2019-06-11Bibliographically approved
Wanner, B., Archenti, A. & Nicolescu, C. M. (2018). Hybrid machining: An industrial case-study comparing inconel718 reaming and drilling with abrasive waterjet technology. In: Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing: (pp. 109-114). Pleiades Publishing (9783319895628)
Open this publication in new window or tab >>Hybrid machining: An industrial case-study comparing inconel718 reaming and drilling with abrasive waterjet technology
2018 (English)In: Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing, Pleiades Publishing , 2018, no 9783319895628, p. 109-114Chapter in book (Refereed)
Abstract [en]

Abrasive waterjet technology is one of the fastest growing metal cutting technologies. When used in conjunction with conventional metal cutting methods, abrasive waterjet cutting can be both cost saving and environmentally favorable. This paper shows that when processing hard to cut alloys, abrasive waterjet will be an excellent hybrid alternative. Reaming and drilling have traditionally been used to produce turbine blisks. Reaming is a highly expensive method since it uses very large amounts of cutting tools. Especially when cutting hard materials such as Nickel alloys, tools have to be replaced after only a few minutes of usage. By applying abrasive waterjet cutting to part of the process, the cost for tooling can be almost entirely eliminated. It will also increase the return profit for revert material and greatly reduce environmental emissions. This is because reaming and drilling produce chips while large amounts of cutting fluids are being used. Abrasive waterjet cutting will produce one large metal chunk per cut and uses no cutting fluids. This paper presents a method to combine abrasive waterjet cutting with reaming and drilling.

Place, publisher, year, edition, pages
Pleiades Publishing, 2018
Keywords
Abrasive waterjet, Hybrid processing, Machining vibrations, Reaming, Sustainability
National Category
Manufacturing, Surface and Joining Technology
Identifiers
urn:nbn:se:kth:diva-238381 (URN)10.1007/978-3-319-89563-5_8 (DOI)2-s2.0-85046822939 (Scopus ID)978-3-319-89562-8 (ISBN)
Note

QC 20181108

Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2018-11-08Bibliographically approved
Rastegari, A. & Archenti, A. (2018). Online vibration condition monitoring of gas circulation fans in hardening process. International Journal of COMADEM, 21(1), 25-29
Open this publication in new window or tab >>Online vibration condition monitoring of gas circulation fans in hardening process
2018 (English)In: International Journal of COMADEM, ISSN 1363-7681, Vol. 21, no 1, p. 25-29Article in journal (Refereed) Published
Abstract [en]

Vibration analysis and the Shock Pulse Method (SPM) are two of the most popular condition monitoring techniques used in Condition-Based Maintenance (CBM) policy, especially for rotating equipment. To illustrate the extent to which advanced CBM techniques (in this case, vibration analysis and SPM) are applicable and cost effective in a manufacturing company, a pilot project was followed in real time. The pilot project was performed at a large manufacturing site in Sweden. The purpose of the project was to implement online condition monitoring of five critical gas circulation fans in the hardening process of the manufacturing company. This paper presents some of the main findings of the online condition monitoring of the fans for a period of three years. Consequently, based on the empirical data, the company was able to gain great profit due to preventing production losses by preventing breakdowns of the fans.

Place, publisher, year, edition, pages
COMADEM International, 2018
Keywords
Condition-based maintenance, Fan, Online condition monitoring, Vibration analysis
National Category
Reliability and Maintenance
Identifiers
urn:nbn:se:kth:diva-238424 (URN)2-s2.0-85048707338 (Scopus ID)
Note

QC 20181031

Available from: 2018-10-31 Created: 2018-10-31 Last updated: 2018-10-31Bibliographically approved
Szipka, K. & Archenti, A. (2018). Procedure for integration of measuring systems into manufacturing. In: European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 18th International Conference and Exhibition, EUSPEN 2018: . Paper presented at 18th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2018; Venice Terminal Passeggeri, Venice; Italy; 4 June 2018 through 8 June 2018 (pp. 167-168). euspen
Open this publication in new window or tab >>Procedure for integration of measuring systems into manufacturing
2018 (English)In: European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 18th International Conference and Exhibition, EUSPEN 2018, euspen , 2018, p. 167-168Conference paper, Published paper (Refereed)
Abstract [en]

Modern production processes require shorter quality control loops and advanced adaptation to variations in production conditions. Thus, the demand to integrate and optimize measuring systems into production and raise the awareness in the management of uncertainty increases significantly. In the competitive edge of production, uncertainty is not solely object of evaluation but the result of a systematic optimization procedure, in which the selection of proper measuring system with suitable measurement uncertainty plays an inevitable role. This importance and highly developed analysis methods in the state of art make measurement uncertainty an effective basis for decision making related to the different aspects of integration. In this paper an iterative procedure is presented for systematic integration of measuring systems into production. The basis of decisions in the procedure is the "cost of uncertainty", which is estimated after technological assessment. The goal is to select an adequate measurement system for a given measurement task with appropriate metrological properties and set up an uncertainty budget, with components on an optimal level of elaboration. In a case study one possible application is shortly presented.

Place, publisher, year, edition, pages
euspen, 2018
Keywords
Measurement uncertainty, Measuring systems, Procedure for Uncertainty Management
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-246549 (URN)2-s2.0-85054542076 (Scopus ID)9780995775121 (ISBN)
Conference
18th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2018; Venice Terminal Passeggeri, Venice; Italy; 4 June 2018 through 8 June 2018
Note

QC 20190320

Available from: 2019-03-20 Created: 2019-03-20 Last updated: 2019-03-20Bibliographically approved
Szipka, K. & Archenti, A. (2018). Utilization of Multi-Axis Positioning Repeatability Performance in Kinematic Modelling. International Journal of Automation Technology
Open this publication in new window or tab >>Utilization of Multi-Axis Positioning Repeatability Performance in Kinematic Modelling
2018 (English)In: International Journal of Automation Technology, ISSN 1881-7629, E-ISSN 1883-8022Article in journal (Refereed) Accepted
Abstract [en]

Detailed description of multi-axis repeatability performance and modelling of non-systematic variations in the positioning performance of machine tools can support the understanding of root-causes of capability variations in manufacturing processes. Kinematic characterization is implemented through repeated measurements, which include variations connected to the performance of the machine tool. This paper addresses the integration of the positional repeatability to kinematic modelling through the employment of direct measurement results. The findings of this research can be used to further develop standardized approaches. The statistical population of random errors along the multi-axis travel first requires the proper management of experimental data. In this paper a methodology and its application is presented for the determination of repeatability under static and unloaded conditions as an inhomogeneous parameter in the work space. The work is exemplified in a case study, where the component errors of a linear axis were investigated with repeated laser interferometer measurements to quantify the estimated repeatability and express it in the composed repeatability budget. The conclusions of the proposed methodology outline the sensitivity of kinematic models relying on measurement data, as the repeatability of the system can be in the same magnitude as systematic errors.

Keywords
Machine tool repeatability, Uncertainty estimation, Kinematic modelling
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-236060 (URN)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20181015

Available from: 2018-10-15 Created: 2018-10-15 Last updated: 2019-06-05Bibliographically approved
Wanner, B., Archenti, A. & Nicolescu, M. (2017). HYBRID MACHINING: ABRASIVE WATERJET TECHNOLOGIES USED IN COMBINATION WITH CONVENTIONAL METAL CUTTING. Journal of Machine Engineering, 17(3), 85-96
Open this publication in new window or tab >>HYBRID MACHINING: ABRASIVE WATERJET TECHNOLOGIES USED IN COMBINATION WITH CONVENTIONAL METAL CUTTING
2017 (English)In: Journal of Machine Engineering, ISSN 1895-7595, Vol. 17, no 3, p. 85-96Article in journal (Refereed) Published
Abstract [en]

Abrasive Waterjet technology is one of the fastest growing metal cutting technologies. Even so, very little published material is available on hybrid processing where abrasive waterjet cutting is one of two or more metal cutting methods. There is also limited published material on thin-walled components cut with abrasive waterjet technology. This paper makes a comparison of conventional metal cutting methods to the more unconventional abrasive waterjet technique. It will serve as a stepping stone in building knowledge aiding in hybrid machining development. It will show the possibilities and limitations during milling of thin-walled Aluminum components and then compare this to the capabilities of abrasive waterjet cutting the same components. Differences in material removal and revert control as well as in vibrations and force requirements will be reviewed. In addition, the environmental issues will be discussed and it will be determined which of the methods is more sustainable. The paper also includes a large section on process methodology.

Keywords
hybrid processing, abrasive waterjet, thin-wall milling, sustainability
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-216942 (URN)2-s2.0-85030534109 (Scopus ID)
Note

QC 20171101

Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2017-11-01Bibliographically approved
Vogl, G. W., Archenti, A. & Donmez, M. A. (2017). Identification of machine tools linear axes performance using on-machine embedded inertia measurement units. In: Laser Metrology and Machine Performance XII - 12th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2017: . Paper presented at 12th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance, LAMDAMAP 2017, 15 March 2017 through 16 March 2017 (pp. 65-74). euspen
Open this publication in new window or tab >>Identification of machine tools linear axes performance using on-machine embedded inertia measurement units
2017 (English)In: Laser Metrology and Machine Performance XII - 12th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2017, euspen , 2017, p. 65-74Conference paper, Published paper (Refereed)
Abstract [en]

The current trend in manufacturing industry is from mass production towards flexible and adaptive manufacturing systems and cloud manufacturing. Self-learning machines and robot systems can play an essential role in the development of intelligent manufacturing systems and can be deployed to deal with a variety of tasks that can require flexibility and accuracy. However, in order for the machine tool (physical and control system) to deal with the desired task in a cognitive and efficient manner, the system must be "aware" of its capability and,most importantly,its limitations in order to avoid them and adjust itself to the desired task. Thus, characterization of machine tool accuracy and capability is necessary to realize that. In this study,data from a machine-embedded inertial measurement unit (IMU), consisting of accelerometers and rate gyroscopes,was used for identification of changes in linearand angular errormotions due to changes in operational conditionsor component degradation.The IMU-based results were validated against laser-based measurement results,demonstratingthat the IMU-based method is capable of detecting micrometer-level and microradian-level degradation of machine tool linearaxes.Thus, manufacturers could use themethod to efficientlyand robustly diagnose the condition of their machine tool linear axeswith minimal disruptions to production.

Place, publisher, year, edition, pages
euspen, 2017
Keywords
Coordinate measuring machines, Engineering education, Gyroscopes, Intelligent robots, Learning systems, Manufacture, Units of measurement, Adaptive manufacturing, Cloud Manufacturing, Inertia measurement units, Inertial Measurement Unit (IMU), Intelligent manufacturing system, Laser-based measurement, Machine tool accuracies, Manufacturing industries, Machine tools
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-227833 (URN)2-s2.0-85043392318 (Scopus ID)9780956679093 (ISBN)
Conference
12th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance, LAMDAMAP 2017, 15 March 2017 through 16 March 2017
Note

QC 20180517

Available from: 2018-05-17 Created: 2018-05-17 Last updated: 2018-05-17Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9185-4607

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