Process Parameters Optimization of Thin-Wall Machining for Wire Arc Additive Manufactured Parts
Additive manufacturing (AM) is an arising production process due to the possibility to produce monolithic components with complex shapes with one single process and without the need for special tooling. AM-produced parts still often require a machining phase, since their surface finish is not compli...
Saved in:
| Published in | Applied sciences Vol. 10; no. 21; p. 7575 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.11.2020
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 2076-3417 2076-3417 |
| DOI | 10.3390/app10217575 |
Cover
| Abstract | Additive manufacturing (AM) is an arising production process due to the possibility to produce monolithic components with complex shapes with one single process and without the need for special tooling. AM-produced parts still often require a machining phase, since their surface finish is not compliant with the strict requirements of the most advanced markets, such as aerospace, energy, and defense. Since reduced weight is a key requirement for these parts, they feature thin walls and webs, usually characterized by low stiffness, requiring the usage of low productivity machining parameters. The idea of this paper is to set up an approach which is able to predict the dynamics of a thin-walled part produced using AM. The knowledge of the workpiece dynamics evolution throughout the machining process can be used to carry out cutting parameter optimization with different objectives (e.g., chatter avoidance, force vibrations reduction). The developed approach exploits finite element (FE) analysis to predict the workpiece dynamics during the machining process, updating its changing geometry. The developed solution can automatically optimize the toolpath for the machining operation, generated by any Computer Aided Manufacturing (CAM) software updating spindle speed in accordance with the selected optimization strategies. The developed approach was tested using as a test case an airfoil. |
|---|---|
| AbstractList | Additive manufacturing (AM) is an arising production process due to the possibility to produce monolithic components with complex shapes with one single process and without the need for special tooling. AM-produced parts still often require a machining phase, since their surface finish is not compliant with the strict requirements of the most advanced markets, such as aerospace, energy, and defense. Since reduced weight is a key requirement for these parts, they feature thin walls and webs, usually characterized by low stiffness, requiring the usage of low productivity machining parameters. The idea of this paper is to set up an approach which is able to predict the dynamics of a thin-walled part produced using AM. The knowledge of the workpiece dynamics evolution throughout the machining process can be used to carry out cutting parameter optimization with different objectives (e.g., chatter avoidance, force vibrations reduction). The developed approach exploits finite element (FE) analysis to predict the workpiece dynamics during the machining process, updating its changing geometry. The developed solution can automatically optimize the toolpath for the machining operation, generated by any Computer Aided Manufacturing (CAM) software updating spindle speed in accordance with the selected optimization strategies. The developed approach was tested using as a test case an airfoil. Featured ApplicationThis work aims at supporting process parameter selection for machining thin-walled components made by additive manufacturing. Machining industries, especially the ones performing both additive and milling, could benefit from the potential application of such an approach.AbstractAdditive manufacturing (AM) is an arising production process due to the possibility to produce monolithic components with complex shapes with one single process and without the need for special tooling. AM-produced parts still often require a machining phase, since their surface finish is not compliant with the strict requirements of the most advanced markets, such as aerospace, energy, and defense. Since reduced weight is a key requirement for these parts, they feature thin walls and webs, usually characterized by low stiffness, requiring the usage of low productivity machining parameters. The idea of this paper is to set up an approach which is able to predict the dynamics of a thin-walled part produced using AM. The knowledge of the workpiece dynamics evolution throughout the machining process can be used to carry out cutting parameter optimization with different objectives (e.g., chatter avoidance, force vibrations reduction). The developed approach exploits finite element (FE) analysis to predict the workpiece dynamics during the machining process, updating its changing geometry. The developed solution can automatically optimize the toolpath for the machining operation, generated by any Computer Aided Manufacturing (CAM) software updating spindle speed in accordance with the selected optimization strategies. The developed approach was tested using as a test case an airfoil. |
| Author | Venturini, Giuseppe Scippa, Antonio Campatelli, Gianni Grossi, Niccolò |
| Author_xml | – sequence: 1 givenname: Niccolò orcidid: 0000-0003-3634-9995 surname: Grossi fullname: Grossi, Niccolò – sequence: 2 givenname: Antonio orcidid: 0000-0002-0165-5821 surname: Scippa fullname: Scippa, Antonio – sequence: 3 givenname: Giuseppe surname: Venturini fullname: Venturini, Giuseppe – sequence: 4 givenname: Gianni orcidid: 0000-0002-9699-1368 surname: Campatelli fullname: Campatelli, Gianni |
| BookMark | eNp9kE1r3DAQhkXZQD6aU_6AoMfGjb5s2cdladPAluSQsEcx1keqxWs5ktyS_voo2VJCIJ3LDDPvPMy8x2gxhtEidEbJF847cgHTRAmjspb1B3TEiGwqLqhcvKoP0WlKW1Kio7yl5Aipmxi0TQnfQISdzTYmfD1lv_N_IPsw4uDw7U8_VhsYBvwDdKn9eI9diHjjo8XLqPHSGJ_9L1vm4-xA5zla80zM6SM6cDAke_o3n6C7b19vV9-r9fXl1Wq5rjRvRK563YMAW1PXCcHbpiHGtJpJ0WvriGwb7gi00hDhGNMgjOy5k7yn0tRGcOAn6GrPNQG2aop-B_FRBfDqpRHivSrneD1Y1bVAQbCm144JUVuohSNtA4xQqmvaFdb5njWPEzz-Lo__A1Kinr1Wr7wu8k97-RTDw2xTVtswx7F8q1jNBZGSU1FUdK_SMaQUrVPa5xeLcwQ_vEP-_Gbnf3c8AblzncI |
| CitedBy_id | crossref_primary_10_3390_app10248908 crossref_primary_10_1016_j_precisioneng_2022_03_008 crossref_primary_10_1007_s11465_024_0792_4 crossref_primary_10_1016_j_ymssp_2022_108837 crossref_primary_10_1016_j_jmapro_2022_08_019 crossref_primary_10_1016_j_istruc_2022_08_084 crossref_primary_10_1016_j_matchemphys_2022_126988 crossref_primary_10_1007_s00170_022_10233_z crossref_primary_10_1007_s12008_023_01278_9 crossref_primary_10_1007_s11665_024_09625_x crossref_primary_10_1016_j_jmapro_2021_05_055 crossref_primary_10_1089_3dp_2021_0268 crossref_primary_10_3390_app11188619 crossref_primary_10_3390_met12111874 crossref_primary_10_3390_app11125325 |
| Cites_doi | 10.1080/17452759.2019.1677345 10.3390/app7121233 10.1016/j.mfglet.2018.06.004 10.17973/MMSJ.2019_11_2019096 10.3390/app10155313 10.1007/978-1-4471-2356-9 10.1016/j.cirpj.2020.08.001 10.3390/app10155238 10.1016/j.procir.2016.04.034 10.1016/j.precisioneng.2015.11.004 10.1016/j.optlastec.2020.106607 10.1007/s00170-010-2976-9 10.1016/j.ijmachtools.2018.05.008 10.1016/j.procir.2014.03.023 10.1007/s12541-017-0137-x 10.1016/j.procir.2013.06.102 10.1016/j.ijmachtools.2015.11.007 10.1007/s00170-015-7077-3 10.3390/app10113941 10.1080/17452759.2020.1779999 10.1007/s11665-014-0958-z 10.1016/j.procir.2016.08.024 10.1016/S0924-0136(03)00550-8 10.1080/10910340600902082 10.1115/1.4036124 |
| ContentType | Journal Article |
| Copyright | 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION ABUWG AFKRA AZQEC BENPR CCPQU DWQXO PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI PRINS ADTOC UNPAY DOA |
| DOI | 10.3390/app10217575 |
| DatabaseName | CrossRef ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One ProQuest Central ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals (ODIN) |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 3 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Sciences (General) |
| EISSN | 2076-3417 |
| ExternalDocumentID | oai_doaj_org_article_98a1a426bcf2445ea54f086a2011c519 10.3390/app10217575 10_3390_app10217575 |
| GeographicLocations | United States--US Japan |
| GeographicLocations_xml | – name: United States--US – name: Japan |
| GroupedDBID | .4S 2XV 5VS 7XC 8CJ 8FE 8FG 8FH AADQD AAFWJ AAYXX ADBBV ADMLS AFKRA AFPKN AFZYC ALMA_UNASSIGNED_HOLDINGS APEBS ARCSS BCNDV BENPR CCPQU CITATION CZ9 D1I D1J D1K GROUPED_DOAJ IAO IGS ITC K6- K6V KC. KQ8 L6V LK5 LK8 M7R MODMG M~E OK1 P62 PHGZM PHGZT PIMPY PROAC TUS ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI PRINS ADTOC IPNFZ RIG UNPAY |
| ID | FETCH-LOGICAL-c364t-bcba4ae51f94438660dd8c274bcef07863f0a87d04f22ca4d7b3f73b17d5d43a3 |
| IEDL.DBID | BENPR |
| ISSN | 2076-3417 |
| IngestDate | Tue Oct 14 18:58:39 EDT 2025 Sun Oct 26 03:51:43 EDT 2025 Mon Jun 30 07:30:11 EDT 2025 Thu Oct 16 04:38:50 EDT 2025 Thu Apr 24 23:07:46 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 21 |
| Language | English |
| License | cc-by |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c364t-bcba4ae51f94438660dd8c274bcef07863f0a87d04f22ca4d7b3f73b17d5d43a3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-0165-5821 0000-0002-9699-1368 0000-0003-3634-9995 |
| OpenAccessLink | https://www.proquest.com/docview/2534077314?pq-origsite=%requestingapplication%&accountid=15518 |
| PQID | 2534077314 |
| PQPubID | 2032433 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_98a1a426bcf2445ea54f086a2011c519 unpaywall_primary_10_3390_app10217575 proquest_journals_2534077314 crossref_citationtrail_10_3390_app10217575 crossref_primary_10_3390_app10217575 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-11-01 |
| PublicationDateYYYYMMDD | 2020-11-01 |
| PublicationDate_xml | – month: 11 year: 2020 text: 2020-11-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Applied sciences |
| PublicationYear | 2020 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Scippa (ref_15) 2014; 14 Montevecchi (ref_22) 2016; 46 Montevecchi (ref_21) 2016; 55 Tan (ref_26) 2020; 15 ref_12 Montevecchi (ref_24) 2016; 44 Grossi (ref_10) 2019; 2019 Arnaud (ref_14) 2011; 54 ref_18 Guo (ref_4) 2021; 134 Montevecchi (ref_5) 2018; 17 Ding (ref_19) 2015; 81 Tuysuz (ref_17) 2017; 139 Grossi (ref_13) 2018; 133 Thevenot (ref_16) 2006; 10 ref_20 ref_1 Frazier (ref_2) 2014; 23 Flynn (ref_8) 2016; 101 ref_9 Ning (ref_11) 2003; 139 Bolsunovskiy (ref_23) 2013; 8 Sing (ref_3) 2020; 15 Grossi (ref_25) 2017; 18 ref_7 ref_6 |
| References_xml | – volume: 15 start-page: 87 year: 2020 ident: ref_26 article-title: Microstructure modelling for metallic additive manufacturing: A review publication-title: Virtual Psysical Prototyp. doi: 10.1080/17452759.2019.1677345 – ident: ref_7 doi: 10.3390/app7121233 – volume: 17 start-page: 14 year: 2018 ident: ref_5 article-title: Heat accumulation prevention in Wire-Arc-Additive-Manufacturing using air jet impingement publication-title: Manuf. Lett. doi: 10.1016/j.mfglet.2018.06.004 – volume: 2019 start-page: 3378 year: 2019 ident: ref_10 article-title: Adaptive toolpath for 3-axis milling of thin walled parts publication-title: MM Sci. J. doi: 10.17973/MMSJ.2019_11_2019096 – ident: ref_9 doi: 10.3390/app10155313 – ident: ref_1 doi: 10.1007/978-1-4471-2356-9 – ident: ref_20 doi: 10.1016/j.cirpj.2020.08.001 – ident: ref_6 doi: 10.3390/app10155238 – volume: 46 start-page: 476 year: 2016 ident: ref_22 article-title: Cutting forces analysis in additive manufactured AISI H13 alloy publication-title: Procedia CIRP doi: 10.1016/j.procir.2016.04.034 – volume: 44 start-page: 152 year: 2016 ident: ref_24 article-title: Improved RCSA technique for efficient tool-tip dynamics prediction publication-title: Precis. Eng. doi: 10.1016/j.precisioneng.2015.11.004 – volume: 134 start-page: 106607 year: 2021 ident: ref_4 article-title: Prediction modelling and process optimization for forming multi-layer cladding structures with laser directed energy deposition publication-title: Opt. Laser Technol. doi: 10.1016/j.optlastec.2020.106607 – volume: 54 start-page: 479 year: 2011 ident: ref_14 article-title: Simulation of low rigidity part machining applied to thin-walled structures publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-010-2976-9 – ident: ref_18 – volume: 133 start-page: 31 year: 2018 ident: ref_13 article-title: On the generation of chatter marks in peripheral milling: A spectral interpretation publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/j.ijmachtools.2018.05.008 – volume: 14 start-page: 287 year: 2014 ident: ref_15 article-title: FEM based Cutting Velocity Selection for Thin Walled Part Machining publication-title: Procedia CIRP doi: 10.1016/j.procir.2014.03.023 – volume: 18 start-page: 1173 year: 2017 ident: ref_25 article-title: Accurate and fast measurement of specific cutting force coefficients changing with spindle speed publication-title: Int. J. Precis. Eng. Manuf. doi: 10.1007/s12541-017-0137-x – volume: 8 start-page: 276 year: 2013 ident: ref_23 article-title: Thin-Walled Part Machining Process Parameters Optimization based on Finite-Element Modeling of Workpiece Vibrations publication-title: Procedia CIRP doi: 10.1016/j.procir.2013.06.102 – volume: 101 start-page: 79 year: 2016 ident: ref_8 article-title: Hybrid additive and subtractive machine tools—Research and industrial developments publication-title: Int. J. Mach. Tools Manuf. doi: 10.1016/j.ijmachtools.2015.11.007 – volume: 81 start-page: 465 year: 2015 ident: ref_19 article-title: Wire-feed additive manufacturing of metal components: Technologies, developments and future interests publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-015-7077-3 – ident: ref_12 doi: 10.3390/app10113941 – volume: 15 start-page: 359 year: 2020 ident: ref_3 article-title: Laser powder bed fusion for metal additive manufacturing: Perspectives on recent developments publication-title: Virtual Phys. Prototyp. doi: 10.1080/17452759.2020.1779999 – volume: 23 start-page: 1917 year: 2014 ident: ref_2 article-title: Metal Additive Manufacturing: A Review publication-title: J. Mater. Eng. Perform. doi: 10.1007/s11665-014-0958-z – volume: 55 start-page: 109 year: 2016 ident: ref_21 article-title: Finite Element Modelling of Wire-arc-additive-manufacturing Process publication-title: Procedia CIRP doi: 10.1016/j.procir.2016.08.024 – volume: 139 start-page: 332 year: 2003 ident: ref_11 article-title: Finite element method analysis and control stratagem for machining deformation of thin-walled components publication-title: J. Mater. Process. Technol. doi: 10.1016/S0924-0136(03)00550-8 – volume: 10 start-page: 275 year: 2006 ident: ref_16 article-title: Influence of Material Removal on the Dynamic Behavior of Thin-walled strucutres in Peripheral Milling publication-title: Mach. Sci. Technol. doi: 10.1080/10910340600902082 – volume: 139 start-page: 071013 year: 2017 ident: ref_17 article-title: Frequency Domain Prediction of Varying Thin-Walled Workpiece Dynamics in Machining publication-title: J. Manuf. Sci. Eng. doi: 10.1115/1.4036124 |
| SSID | ssj0000913810 |
| Score | 2.2643313 |
| Snippet | Additive manufacturing (AM) is an arising production process due to the possibility to produce monolithic components with complex shapes with one single... Featured ApplicationThis work aims at supporting process parameter selection for machining thin-walled components made by additive manufacturing. Machining... |
| SourceID | doaj unpaywall proquest crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database |
| StartPage | 7575 |
| SubjectTerms | Accuracy additive manufacturing Automation dynamics Finishing Geometry machining cycle optimization Manufacturing Optimization techniques Productivity thin walled machining |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals (ODIN) dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEA7iRT2IuyquL3JQUKHYNkkfx1UUEXwcFLyVPE9rXdwW8d87k2aXCqIXr21oh5lJZqb95htCjoRNrDG5izIBRyAvShWpzKURg1KiFLGJpfNoi_vs5pnfvoiX3qgvxIR19MCd4s7LQiYSwojSDiKRsFJwB2m4xMClhSf8TOOi7BVT_gwuE6Su6hryGNT1-D8Yp1jnAhGFvRDkmfq_pZcrbT2Vnx9yMulFmusNsh5SRDruRBuQJVsPyVqPOHBIBmFLzuhJ4I0-3SRVAP3TR4mIK6TNpA9wIryGVkv65iiO6Yzw4zm98yhKeBqFtJUiCBbeqOnYGI8mgvt1i10P7bs1-MRmtkWer6-eLm-iMD8h0izjTaS0klxakbiSc1ZkWWxMoaEMVdo6SA0y5mJZ5CbmLk215CZXzOVMJbkRhjPJtsly_VbbHUJdkWiwQ6Fgh3Mdp6UsFRNGQTqhFUT4ETmbq7TSgVwcZ1xMKigyUP9VT_8jcrRYPO04NX5edoG2WSxBImx_AdyjCu5R_eUeI7I_t2wVduesSgWDOjZnKPfxwtq_ybL7H7LskdUUq3XfybhPlpv31h5AStOoQ--9XzB28fQ priority: 102 providerName: Directory of Open Access Journals – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9NAEB5BegAOLS1UpC3VHooESG5s764fx4BaVZUaeiBSOVn7rBCpEyW2EP31nXE2UYoQ6tUer0ea2dnvs-cBcCJd4qzNfZRJDIGiKHWkM59GHKlEKWMbK99lW4yyi7G4vJE3oVh9EdIqkYr_7IJ0iiQ7wjBL1eGDNBnkiC0GM-ufw1YmEXr3YGs8uh7-oAFyK9FlDR5HKk-_gGlwNT316NTpmvM_QpQv2nqm_vxWk8nG4XK-A6OVWsuckl-nbaNPzf1fHRufrPdr2A4wkw2XfrELz1y9B682mg_uwW7Y1gv2MfSe_vQGqlA4wK4VZW1R6032DaPKXSjXZFPPaNRnRB_g2VWXiYmrMYS-jBJp8Y2GDa3tMpLwft1S5UQ7d5ZWbBZvYXx-9v3rRRRmMESGZ6KJtNFKKCcTXwrBiyyLrS0MUlltnEd4kXEfqyK3sfBpapSwueY-5zrJrbSCK74PvXpau3fAfJEYlahCY5QQJk5LVWourUZIYjSihD58XtmoMqFBOc3JmFRIVMig1YZB-3CyFp4t-3L8W-wLGXstQs20uwvT-W0V9mZVFqgWIhVtPIId6ZQUHpmeImxkEOH24WjlKlXY4YsqlRy5cM5J7w9r9_mfLgdPlDuElymR-q7g8Qh6zbx17xH5NPo4-PsDU2b9Xg priority: 102 providerName: Unpaywall |
| Title | Process Parameters Optimization of Thin-Wall Machining for Wire Arc Additive Manufactured Parts |
| URI | https://www.proquest.com/docview/2534077314 https://www.mdpi.com/2076-3417/10/21/7575/pdf https://doaj.org/article/98a1a426bcf2445ea54f086a2011c519 |
| UnpaywallVersion | publishedVersion |
| Volume | 10 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: KQ8 dateStart: 20110101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: DOA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: Inspec with Full Text customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: ADMLS dateStart: 20120901 isFulltext: true titleUrlDefault: https://www.ebsco.com/products/research-databases/inspec-full-text providerName: EBSCOhost – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources (selected full-text only) customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 2076-3417 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: BENPR dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 2076-3417 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000913810 issn: 2076-3417 databaseCode: 8FG dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LbxMxEB616QF6QG0BESiRD0UCpBW7a3sfB4RS1FAhESJEpHJa-ckl3YQ8hPj3zDjeNEiox921vJbHY38znvkG4EK6zFlb-qSQuAWKqtaJLnyecDQlapnaVPkQbTEurqfi8428OYBxlwtDYZXdnhg2ajs35CN_l0uOtkfJM_Fh8SuhqlF0u9qV0FCxtIJ9HyjGDuEoJ2asHhxdXo0n33ZeF2LBrLJ0m6jH0d6ne2Kqbl1KijTcO5oCg_8_sPPBpl2oP7_VbLZ3Ao1O4FGEjmy4lfUpHLj2DI73CAXP4DSq6oq9jnzSbx5DE5MB2ERRJBbRabKvuFPcxhRMNveMyncm5FRnX0J0JfbGEM4yCo7FPxo2tDZEGeH3dkPZEJuls9TjevUEpqOr7x-vk1hXITG8EOtEG62EcjLztRC8KorU2sqgeaqN8wgZCu5TVZU2FT7PjRK21NyXXGellVZwxZ9Cr5237hkwX2VGZarSqPnCpHmtas2l1QgzjMaTvw9vuyltTCQdp9oXswaND5r_Zm_--3Cxa7zYcm38v9klyWbXhAiyw4v58mcT9a2pKxwWog9tPAIY6ZQUHq03RXjHIGrtw3kn2SZq7aq5W2N9eLWT9n1jeX5_Ny_gYU72echdPIfeerlxLxHErPUADqvRp0Fcn4PgCsCn6Xgy_PEXH570OA |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LTxRBEK4gHNADEdS4gNoHSNRk4sx09zwOxABCFoGVGEi4Df30ss4u-wjhz_nbrJrtWdbEcOM606mZdHVXf1VdVR_AjnSJszb3USbRBIqi1JHOfBpxdCVKGdtY-Sbbopd1r8T3a3m9BH_aWhhKq2xtYmOo7cBQjPxLKjn6HjlPxNfhbUSsUXS72lJoqECtYPeaFmOhsOPU3d-hCzfeO_mG-t5N0-Ojy8NuFFgGIsMzMYm00UooJxNfCsGLLIutLQw6a9o4jwdoxn2sitzGwqepUcLmmvuc6yS30gquOMp9BiuCixKdv5WDo97Fz3mUh7puFkk8KwzkvIzpXprYtHNJmY0LR2HDGPAPzF2d1kN1f6f6_YUT7_glrAWoyvZna2sdlly9AS8WGhhuwHowDWP2MfSv_vQKqlB8wC4UZX5R-072Ay3T71DyyQaeEV1oREF8dt5kc6I0hvCZUTIuftGwfWubrCZ8X0-p-mI6cpYkTsav4epJZvgNLNeD2r0F5ovEqEQVGi2NMHFaqlJzaTXCGqMRaXTgczullQlNzolro1-hs0PzXy3Mfwd25oOHs94e_x92QLqZD6GG3M2DwehXFfZ3VRb4W4h2tPEImKRTUnj0FhXhK4MouQPbrWarYCXG1cOa7sDuXNuP_cvm42I-wGr38vysOjvpnW7B85RiA03d5DYsT0ZT9w4B1ES_D6uUwc1Tb4y_8wAujA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LTxRBEK4gJooHI6hhFbUPkKjJhJnp7nkcjEFxBVHkIAm3tp9cltl1HyH8NX4dVbM965oYblxnOjWTqurqr6rrAbAtfeadK0NSSDSBoqpNYoqQJxxdiVqmLtWhzbY4Lg5OxbczebYC110tDKVVdjaxNdRuaClGvptLjr5HyTOxG2JaxMl-_-PoT0ITpOimtRunMVeRI391ie7b5MPhPsp6J8_7X359PkjihIHE8kJME2ONFtrLLNRC8KooUucqi46asT7g4VnwkOqqdKkIeW61cKXhoeQmK510gmuOdO_B_ZK6uFOVev_rIr5D_TarLJ2XBHJep3QjTXO0S0k5jUuHYDsr4B-A-3DWjPTVpR4Mls66_hN4HEEq25tr1Tqs-GYDHi21LtyA9WgUJuxt7Fz97imoWHbATjTlfFHjTvYTbdJFLPZkw8BoUGhC4Xv2o83jRGoMgTOjNFz8omV7zrX5TPi-mVHdxWzsHVGcTp7B6Z3w9zmsNsPGbwILVWZ1piuDNkbYNK91bbh0BgGNNYgxevC-Y6mysb05TdkYKHRziP9qif892F4sHs27evx_2SeSzWIJteJuHwzH5yrubFVX-FuIc4wNCJWk11IE9BM1ISuL-LgHW51kVbQPE_VXm3uws5D2bf_y4nYyb-ABbgf1_fD46CWs5RQUaAsmt2B1Op75V4icpuZ1q6IMft_1nrgBsqIsJg |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9NAEB5BegAOLS1UpC3VHooESG5s764fx4BaVZUaeiBSOVn7rBCpEyW2EP31nXE2UYoQ6tUer0ea2dnvs-cBcCJd4qzNfZRJDIGiKHWkM59GHKlEKWMbK99lW4yyi7G4vJE3oVh9EdIqkYr_7IJ0iiQ7wjBL1eGDNBnkiC0GM-ufw1YmEXr3YGs8uh7-oAFyK9FlDR5HKk-_gGlwNT316NTpmvM_QpQv2nqm_vxWk8nG4XK-A6OVWsuckl-nbaNPzf1fHRufrPdr2A4wkw2XfrELz1y9B682mg_uwW7Y1gv2MfSe_vQGqlA4wK4VZW1R6032DaPKXSjXZFPPaNRnRB_g2VWXiYmrMYS-jBJp8Y2GDa3tMpLwft1S5UQ7d5ZWbBZvYXx-9v3rRRRmMESGZ6KJtNFKKCcTXwrBiyyLrS0MUlltnEd4kXEfqyK3sfBpapSwueY-5zrJrbSCK74PvXpau3fAfJEYlahCY5QQJk5LVWourUZIYjSihD58XtmoMqFBOc3JmFRIVMig1YZB-3CyFp4t-3L8W-wLGXstQs20uwvT-W0V9mZVFqgWIhVtPIId6ZQUHpmeImxkEOH24WjlKlXY4YsqlRy5cM5J7w9r9_mfLgdPlDuElymR-q7g8Qh6zbx17xH5NPo4-PsDU2b9Xg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Process+Parameters+Optimization+of+Thin-Wall+Machining+for+Wire+Arc+Additive+Manufactured+Parts&rft.jtitle=Applied+sciences&rft.au=Scippa%2C+Antonio&rft.au=Venturini%2C+Giuseppe&rft.au=Campatelli%2C+Gianni&rft.date=2020-11-01&rft.pub=MDPI+AG&rft.eissn=2076-3417&rft.volume=10&rft.issue=21&rft.spage=7575&rft_id=info:doi/10.3390%2Fapp10217575&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2076-3417&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2076-3417&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2076-3417&client=summon |