Change search
Link to record
Permanent link

Direct link
BETA
Publications (10 of 35) Show all publications
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.

Keyword
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
Maffei, A., Daghini, L., Archenti, A. & Lohse, N. (2016). CONALI Ontology. A Framework for Design and Evaluation of Constructively Aligned Courses in Higher Education: Putting in Focus the Educational Goal Verbs. In: Procedia CIRP: . Paper presented at 26th CIRP Design Conference, 2016, 15 June 2016 through 17 June 2016 (pp. 765-772). Elsevier
Open this publication in new window or tab >>CONALI Ontology. A Framework for Design and Evaluation of Constructively Aligned Courses in Higher Education: Putting in Focus the Educational Goal Verbs
2016 (English)In: Procedia CIRP, Elsevier, 2016, p. 765-772Conference paper, Published paper (Refereed)
Abstract [en]

An increasing number of Higher Education professionals have embraced the Constructivism theory in contrast with the traditional transmissive pedagogy approach where the focal figure is the teacher. Constructivists emphasizes that the learners acquire, or construct, knowledge through their own activities and previous knowledge. Teacher role is to set up an environment that can provide a good learning experience for the students. In view of this the alignment of the intended learning outcome (ILO) with the teaching and learning activity (TLA) and the assessment task (AT) of the course becomes an important requirement for good learning. The driver of the alignment is the educational goal verb (EGV) that represents the educational goal underling a specific intended learning outcome (ILO). This verb should be elicited by the course's TLA and be the base for the consequent AT. The convergence of constructivism with this concept generates the constructive alignment pedagogical paradigm. The CONALI ontology answers the requirement for a structured framework to describe the vast body of knowledge developed in such a field. The salient aspects of constructive alignment have been extracted and classified in a comprehensive taxonomy. The following description of the semantic relationships among the different classes resulted in the CONALI ontology. The chosen modelling language is OWL: this provides the possibility to describe in a computer understandable way a higher education courses to an unprecedented level of detail. OWL enables also the creation of a specific knowledge base by populating the model. The knowledge base can then be analysed and interrogated on many important issues concerning the alignment of the instantiated course. The CONALI ontology becomes an important tool to design and synthesize the related domain knowledge. This paper proves the usability of CONALI ontology as tool to represent the courses in an engineering program and evaluate the alignment of their activities. The specific instantiation is based on the Industrial Engineering program at KTH Royal Institute of Technology in Stockholm, Sweden.

Place, publisher, year, edition, pages
Elsevier, 2016
Keyword
Constructive Alignment, Knowledge Base, Ontology, Birds, Computer simulation languages, Design, Education, Education computing, Knowledge based systems, Modeling languages, Semantics, Constructive alignments, Constructivism theories, Design and evaluations, Intended learning outcomes, Royal Institute of Technology, Semantic relationships, Teaching and learning, Teaching
National Category
Learning
Identifiers
urn:nbn:se:kth:diva-195460 (URN)10.1016/j.procir.2016.06.004 (DOI)000387666600104 ()2-s2.0-84986598327 (Scopus ID)
Conference
26th CIRP Design Conference, 2016, 15 June 2016 through 17 June 2016
Note

QC 20161128

Available from: 2016-11-28 Created: 2016-11-03 Last updated: 2016-12-14Bibliographically approved
Vogl, G. W., Donmez, M. A., Archenti, A. & Weiss, B. A. (2016). Inertial measurement unit for on-machine diagnostics of machine tool linear axes. In: Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM: . Paper presented at 2016 Annual Conference of the Prognostics and Health Management Society, PHM 2016, 3 October 2016 through 6 October 2016 (pp. 169-175). Prognostics and Health Management Society
Open this publication in new window or tab >>Inertial measurement unit for on-machine diagnostics of machine tool linear axes
2016 (English)In: Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM, Prognostics and Health Management Society , 2016, p. 169-175Conference paper (Refereed)
Abstract [en]

Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of machines' components such as linear axes is typically a manual and time-consuming process. Thus, manufacturers need automated, efficient, and robust methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. Towards this end, a method was developed to use data from an inertial measurement unit (IMU) for identification of changes in the translational and angular errors due to axis degradation. The IMU-based method uses data from accelerometers and rate gyroscopes to identify changes in linear and angular errors due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of measuring geometric errors with acceptable test uncertainty ratios. Specifically, comparison of the IMU-based and laser-based results demonstrate that the IMU-based method is capable of detecting micrometer-level and microradian-level degradation of linear axes. Consequently, an IMU was created for application of the IMU-based method on a machine tool as a proof of concept for detection of linear axis error motions. If the data collection and analysis are integrated within a machine controller, the process may be streamlined for the optimization of maintenance activities and scheduling, supporting more intelligent decision-making by manufacturing personnel and the development of self-diagnosing smart machine tools.

Place, publisher, year, edition, pages
Prognostics and Health Management Society, 2016
Keyword
Decision making, Errors, Gyroscopes, Machine components, Manufacture, Systems engineering, Units of measurement, Inertial measurement unit, Intelligent decision making, Machine controllers, Maintenance activity, Micrometer levels, Proof of concept, Test uncertainty ratios, Verification-and-validation, Machine tools
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-216864 (URN)2-s2.0-85030248252 (Scopus ID)9781936263059 (ISBN)
Conference
2016 Annual Conference of the Prognostics and Health Management Society, PHM 2016, 3 October 2016 through 6 October 2016
Note

QC 20171113

Available from: 2017-11-13 Created: 2017-11-13 Last updated: 2017-11-13Bibliographically approved
Cedergren, S., Frangoudis, C., Archenti, A., Pederson, R. & Sjöberg, G. (2015). Influence of work material microstructure on vibrations when machining cast Ti-6Al-4V. The International Journal of Advanced Manufacturing Technology, 1-15
Open this publication in new window or tab >>Influence of work material microstructure on vibrations when machining cast Ti-6Al-4V
Show others...
2015 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, p. 1-15Article in journal (Refereed) Epub ahead of print
Abstract [en]

Titanium alloys are known to produce shear-localized chips during machining, resulting in cyclic variations in cutting forces which in turn could cause severe problems with vibrations. However, at low cutting speeds and feed rates, continuous chips are formed, with an increase in both parameters favoring the transition to shear-localized chips. This transition is affected by work material microstructure, where a coarse microstructure gives anisotropic effects, e.g., when the size of alpha colonies is on the same order of magnitude as the primary cutting zone. The change in chip morphology with an increase in cutting parameters will then be dependent on the orientation of alpha colonies within the cutting zone. The microstructure of work material can show large variations depending on product form, e.g., cast, wrought, or sheet material, thus affecting whether the chip formation is isotropic or anisotropic. Other sources of variations also exist that can be found within the same component, such as segregation of alloying elements and differences in thermo-mechanical history during processing due to geometry. In this study, the interaction between work material microstructure, process parameters, and the machining system’s structural characteristics is studied. The aim is to further increase the knowledge about vibrations during machining of titanium and the role of microstructure and machining system properties. Different microstructures were produced by adding boron to cast Ti-6Al-4V material, where the resulting colony sizes gave both isotropic and anisotropic chip formation within the chosen cutting data range. The machining systems dynamic properties were varied by using different tool overhangs, thereby simulating different configurations of natural frequencies and stiffness. The results show the influence of both microstructure and machining system’s structural characteristics on the dynamic response of the system for different process parameters. This information can be used to increase robustness of machining operations taking into consideration this three-way relationship.

Place, publisher, year, edition, pages
London: Springer, 2015
Keyword
Titanium Machining, Vibrations, Process-machine interaction
National Category
Engineering and Technology
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-174199 (URN)10.1007/s00170-015-7827-2 (DOI)2-s2.0-84944608518 (Scopus ID)
Funder
XPRES - Initiative for excellence in production research
Note

QP 201510

Available from: 2015-10-02 Created: 2015-10-02 Last updated: 2017-12-01Bibliographically approved
Nicolescu, M., Frangoudis, C., Semere Tesfamariam, D., Archenti, A. & Rashid, A. (2015). New Paradigm in Control of Machining System’s Dynamics. Journal of Machine Engineering, 15(3)
Open this publication in new window or tab >>New Paradigm in Control of Machining System’s Dynamics
Show others...
2015 (English)In: Journal of Machine Engineering, Vol. 15, no 3Article in journal (Refereed) Published
Abstract [en]

The increasing demands for precision and efficiency in machining call for effective control strategies based on the identification of static and dynamic characteristics under operational conditions. The capability of a machining system is significantly determined by its static and dynamic stiffness. The aim of this paper is to introduce novel concepts and methods regarding identification and control of a machining system’s dynamics. After discussing the limitations in current methods and technologies of machining systems’ identification and control, the paper introduces a new paradigm for controlling the machining system dynamics based on design of controllable structural Joint Interface Modules, JIMs, whose interface characteristics can be tuned using embedded actuators. Results from the laboratory and industrial implementation demonstrate the effectiveness of the control strategy with a high degree of repeatability.

Keyword
machining system, parametric identification, operational dynamic parameters, joint interface module
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-208201 (URN)
Note

QC 20170612

Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-12Bibliographically approved
Leonesio, M., Archenti, A. & Parenti, P. (2015). Parametric and non-parametric identification of micromilling dynamics. In: Massimiliano Annoni et al (Ed.), Proceedings of the 4M/ICOMM2015 Conference: . Paper presented at 4M/ICOMM2015 (pp. 121-125).
Open this publication in new window or tab >>Parametric and non-parametric identification of micromilling dynamics
2015 (English)In: Proceedings of the 4M/ICOMM2015 Conference / [ed] Massimiliano Annoni et al, 2015, p. 121-125Conference paper, Published paper (Refereed)
Abstract [en]

Monitoring and control of micromilling process represents a challenging task in metal cutting. The lack of static and dynamic stiffness due to the small tool size represents one of the most important issues that has to be tackled in order to provide satisfactory control of the process. In this paper different methods for identifying micro-end milling dynamics for process monitoring are proposed. On one side a parametric approach based on the identification of machining system ODPs (Operation Dynamic Parameters) has been designed. On the other hand a non-parametric approach, based on the calculation of system Lyapunov exponents has been also tested to verify whether generalized methods for assessing system dynamics are also applicable in micromachining where the process non-linearity’s can become relevant, thus limiting the effectiveness of other monitoring methods.

Keyword
Micromilling, Identification, Process stability, Chatter
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-166761 (URN)10.3850/978-981-09-4609-8_030 (DOI)978-981-09-4609-8 (ISBN)
Conference
4M/ICOMM2015
Note

QC 20150615

Available from: 2015-05-15 Created: 2015-05-15 Last updated: 2015-06-15Bibliographically approved
Archenti, A. (2014). Prediction of machined part accuracy from machining system capability. CIRP annals, 63(1), 505-508
Open this publication in new window or tab >>Prediction of machined part accuracy from machining system capability
2014 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 63, no 1, p. 505-508Article in journal (Refereed) Published
Abstract [en]

A novel methodology for linking machining system capability to the accuracy of a machined part is presented. Using special testing equipment, force-deviation functions in the real machine workspace are obtained. An elastically linked multi-body simulation and FE model evaluates the volumetric deviations. The deviation values are then calculated for a particular tool path. The forces and the deviations along the tool path are computed and compared with results obtained from machining experiments. This approach yields elimination of laborious machining experiments and supports an unequivocal control of machining system conditions giving the required level of part accuracy.

Place, publisher, year, edition, pages
Elsevier, 2014
Keyword
Accuracy, Machine tool, Elastically Linked Systems (ELS)
National Category
Engineering and Technology
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-147869 (URN)10.1016/j.cirp.2014.03.040 (DOI)000338811000127 ()2-s2.0-84902546592 (Scopus ID)
Funder
XPRES - Initiative for excellence in production researchVinnova
Note

QC 20140811

Available from: 2014-07-06 Created: 2014-07-06 Last updated: 2017-12-05Bibliographically approved
Archenti, A. & Nicolescu, C. M. (2013). Accuracy analysis of machine tools using Elastically Linked Systems. CIRP annals, 62(1), 503-506
Open this publication in new window or tab >>Accuracy analysis of machine tools using Elastically Linked Systems
2013 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 62, no 1, p. 503-506Article in journal (Refereed) Published
Abstract [en]

The paper introduces the concept of Elastically Linked Systems (ELS) to directly relate the machine tool positional and static accuracy to the machined part’s geometric errors and form deviation. Practical implementation of the ELS concept resulted in a novel test equipment, Loaded Double Ball Bar (LDBB) which is a precision mechatronic device with variable load. The test method based on the device is able to reveal machine tool characteristics not obtainable with existing methods as for instance the variation of stiffness in the entire working space. The LDBB is used to experimentally evaluate the stiffness and the corresponding accuracy of five machine tools.

Place, publisher, year, edition, pages
Elsevier, 2013
Keyword
Accuracy, Machine tool, Stiffness
National Category
Engineering and Technology
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-121554 (URN)10.1016/j.cirp.2013.03.100 (DOI)000322555800125 ()2-s2.0-84878827293 (Scopus ID)
Funder
XPRES - Initiative for excellence in production researchVinnova
Note

QC 20130603

Available from: 2013-05-01 Created: 2013-05-01 Last updated: 2017-12-06Bibliographically approved
Archenti, A., Daghini, L. & Österlind, T. (2013). Contactless excitation and response system for analysis of high precision rotor dynamic properties. In: Prof. Liam Blunt & Dr. Wolfgang Knapp (Ed.), Laser Metrology and Machine Performance X: LAMDAMAP 2013. Paper presented at Laser Metrology, Machine tool, CMM and Robotic Performance, Lamdamap 10th International Conference and Exhibition; Kavli Royal Society International Centre, Buckinghamshire, UK, March 20-21, 2013 (pp. 150-156). Bedfordshire, UK: euspen
Open this publication in new window or tab >>Contactless excitation and response system for analysis of high precision rotor dynamic properties
2013 (English)In: Laser Metrology and Machine Performance X: LAMDAMAP 2013 / [ed] Prof. Liam Blunt & Dr. Wolfgang Knapp, Bedfordshire, UK: euspen , 2013, p. 150-156Conference paper, Published paper (Refereed)
Abstract [en]

The spindle system is a critical part of a machine tool structure and its dynamic properties are important for the performance of the whole machining system. Currently the only way to extract the dynamic properties of a given structure is via experimental modal analysis. This approach, however, can only be employed on idle systems and is performed with the assumption that the dynamics of a system are independent of rotational speed. The latter assumption cannot be applied to spindle systems. This paper introduces a novel testing system for analysing machine tool spindles dynamic properties, consisting of real-time recursive estimation of modal and operational dynamic parameters, employed alongside a contactless excitation and response system. The presented approach allows analysing the spindle system condition and dynamic properties not only at discrete rotational speed intervals but also during continuous sweep of rotational speed.

Place, publisher, year, edition, pages
Bedfordshire, UK: euspen, 2013
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-120465 (URN)2-s2.0-84908266209 (Scopus ID)978-0-9566790-1-7 (ISBN)
Conference
Laser Metrology, Machine tool, CMM and Robotic Performance, Lamdamap 10th International Conference and Exhibition; Kavli Royal Society International Centre, Buckinghamshire, UK, March 20-21, 2013
Projects
FFI COMPIT – Capability of Machining Systems and Performance Improvement Technologies
Funder
XPRES - Initiative for excellence in production researchVinnova
Note

QC 20130823

Available from: 2013-04-08 Created: 2013-04-08 Last updated: 2017-03-28Bibliographically approved
Nicolescu, M. & Archenti, A. (2013). Dynamic parameter identification in nonlinear machining systems. Journal of Machine Engineering, 13(3), 91-116
Open this publication in new window or tab >>Dynamic parameter identification in nonlinear machining systems
2013 (English)In: Journal of Machine Engineering, ISSN 1426-708X, Vol. 13, no 3, p. 91-116Article in journal (Refereed) Published
Abstract [en]

The demand for enhanced performance of production systems in terms of quality, cost and reliability is ever increasing while, at the same time, there is a demand forshorter design cycles, longer operating life, minimisation of inspection and maintenance needs. Experimental testing and system identification in operational conditionsstill represent an important technique for monitoring, control andoptimization. The term identification refers in the present paper to the extraction of information from experimental data and is used to estimate operationaldynamic parameters for machining system. Such approach opens up the possibility of monitoring the dynamics of machining system during operational conditions, and to be used for control and/or predictive purposes. Machining system is considered non-linear and excited by random loads. Parametric and non-parametric techniques are developed for the identification of the non-linear machiningsystem and their application is demonstrated both by numerical simulations and in actual machining operations. Discrimination between forced and self-excitedvibration is also presented. The ability of the developed methods to estimate operational dynamic parameters ODPs is presented in practical machining operations.

Keyword
Machining systems, dynamic parameters, white noise excitation, self-excited vibrations
National Category
Engineering and Technology
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-136746 (URN)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20131209

Available from: 2013-12-09 Created: 2013-12-09 Last updated: 2017-03-27Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9185-4607

Search in DiVA

Show all publications