| Nome |
# |
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Improvement of surface flatness in high precision milling, file e0c31c08-b0d8-4599-e053-1705fe0aef77
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1.136
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Limitations of the inherent strain method in simulating powder bed fusion processes, file e0c31c0f-7be1-4599-e053-1705fe0aef77
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445
|
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In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis, file e0c31c0f-8169-4599-e053-1705fe0aef77
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439
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Applicability of an orthogonal cutting slip-line field model for the microscale, file e0c31c08-a700-4599-e053-1705fe0aef77
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283
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Densification mechanism for different types of stainless steel powders in Selective Laser Melting, file e0c31c0a-abb6-4599-e053-1705fe0aef77
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270
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Workpiece surface flatness improvement by tool length compensation in micromilling, file e0c31c08-b06b-4599-e053-1705fe0aef77
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216
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Experimental comparison between traditional and cryogenic cooling conditions in rough turning of Ti-6Al-4V, file e0c31c08-a987-4599-e053-1705fe0aef77
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207
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Il Monitoraggio dei processi additivi, file e0c31c0e-90bc-4599-e053-1705fe0aef77
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200
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About Fluence and Process Parameters on Maraging Steel Processed by Selective Laser Melting: Do They Convey the Same Information?, file e0c31c0c-acc2-4599-e053-1705fe0aef77
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197
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On the Multihead Weigher Machine Setup Problem, file e0c31c0f-5ab1-4599-e053-1705fe0aef77
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177
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An Economical Approach to Stop an Experimental Campaign with the Aim of Reducing Cost, file e0c31c09-4870-4599-e053-1705fe0aef77
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134
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Geometrical quality improvement of high aspect ratio micromilled pins, file e0c31c08-b0d9-4599-e053-1705fe0aef77
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98
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A genetic algorithm for the hybrid flow shop scheduling with unrelated machines and machine eligibility, file e0c31c0f-6153-4599-e053-1705fe0aef77
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91
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The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed fusion, file e0c31c12-5dce-4599-e053-1705fe0aef77
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82
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Fast optimisation procedure for the selection of L-PBF parameters based on utility function, file e0c31c11-e972-4599-e053-1705fe0aef77
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69
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A comparison study of distribution-free multivariate SPC methods for multimode data, file e0c31c0f-6afd-4599-e053-1705fe0aef77
|
68
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Using recycled material to produce gas-atomized metal powders for additive manufacturing processes, file e0c31c0f-9c84-4599-e053-1705fe0aef77
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65
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Optimal setup of a multihead weighing machine, file e0c31c0f-4c53-4599-e053-1705fe0aef77
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50
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Optimization of cutting conditions using an evolutive online procedure, file e0c31c0f-5422-4599-e053-1705fe0aef77
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45
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Hierarchical Metamodeling of the Air Bending Process, file e0c31c0f-8911-4599-e053-1705fe0aef77
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36
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Estimation of the accuracy of measurement of internal defects in X-ray Computed Tomography, file e0c31c12-29f5-4599-e053-1705fe0aef77
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31
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Group decision making in manufacturing systems: An approach using spatial preference information and indifference zone, file e0c31c0f-5917-4599-e053-1705fe0aef77
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28
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Influence of the atomization medium on the properties of stainless steel SLM parts, file e0c31c0f-db43-4599-e053-1705fe0aef77
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28
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Calibration and Validation of a Mechanistic Micromilling Force Prediction Model, file e0c31c0f-3ad9-4599-e053-1705fe0aef77
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27
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Densification mechanism for different types of stainless steel powders in Selective Laser Melting, file e0c31c0b-a1e2-4599-e053-1705fe0aef77
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25
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On the Effectiveness of Profile Monitoring to Enhance Functional Performance of Particleboards, file e0c31c0f-6b08-4599-e053-1705fe0aef77
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21
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Process optimization via confidence region: a case study from micro-injection molding, file 2383affc-0576-4fb0-b500-8e4b051df371
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18
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Mathematical Models for Minimizing Total Tardiness on Parallel Additive Manufacturing Machines, file b04a74c7-69b9-4127-a66c-45b224fdd33a
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17
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On the Geometrical Accuracy of High Aspect Ratio Micromilled Pins, file e0c31c0f-8d6a-4599-e053-1705fe0aef77
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15
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On the Lack of fusion porosity in L-PBF processes, file af152ba5-bffb-40a4-9d9e-7c2ccaf4cb7f
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12
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A Method for Benchmarking of FEM Packages for Multi-Stage Sheet Metal Forming Simulations, file 37b5b92c-9788-470a-934d-018a1aecc38f
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11
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A techno-economic approach for decision-making in metal additive manufacturing: metal extrusion versus single and multiple laser powder bed fusion, file 535af8dc-2095-4685-9496-8e134dc22961
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11
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Improvement of SLM Build Rate of A357 alloy by optimizing Fluence, file e0c31c11-5694-4599-e053-1705fe0aef77
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7
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Limitations of the inherent strain method in simulating powder bed fusion processes, file e0c31c0c-50a1-4599-e053-1705fe0aef77
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6
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Multi-objective scheduling in hybrid flow shop: Evolutionary algorithms using multi-decoding framework, file e0c31c0f-d21c-4599-e053-1705fe0aef77
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4
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Applicability of an orthogonal cutting slip-line field model for the microscale, file e0c31c08-9fc2-4599-e053-1705fe0aef77
|
3
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On the Geometrical Accuracy of High Aspect Ratio Micromilled Pins, file e0c31c0a-69f2-4599-e053-1705fe0aef77
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3
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A new method to cope with decision makers’ uncertainty in the equipment selection process, file e0c31c07-bfd6-4599-e053-1705fe0aef77
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2
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Un ambiente open source object-oriented per la simulazione di sistemi di produzione manifatturieri, file e0c31c07-d865-4599-e053-1705fe0aef77
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2
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Manufacturing quality control by means of a Fuzzy ART network trained on natural process data, file e0c31c07-d9f2-4599-e053-1705fe0aef77
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2
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Critical issues in detecting out-of-control samples in customer satisfaction surveys, file e0c31c07-df72-4599-e053-1705fe0aef77
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2
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Process parameters effect on cutting forces and geometrical quality in thin wall micromilling, file e0c31c08-119a-4599-e053-1705fe0aef77
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2
|
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Microdrilling of AISI 304 Stainless Steel: process parameters range, hole quality and tool wear, file e0c31c08-4725-4599-e053-1705fe0aef77
|
2
|
|
A comparison study of distribution-free multivariate SPC methods for multimode data, file e0c31c08-ebd0-4599-e053-1705fe0aef77
|
2
|
|
In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis, file e0c31c0a-e199-4599-e053-1705fe0aef77
|
2
|
|
A genetic algorithm for the hybrid flow shop scheduling with unrelated machines and machine eligibility, file e0c31c0c-8718-4599-e053-1705fe0aef77
|
2
|
|
Hierarchical Metamodeling of the Air Bending Process, file e0c31c0f-60c7-4599-e053-1705fe0aef77
|
2
|
|
About Fluence and Process Parameters on Maraging Steel Processed by Selective Laser Melting: Do They Convey the Same Information?, file 99f29bfc-ae3c-4216-97b4-573b7df01374
|
1
|
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Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control, file e0c31c07-d47c-4599-e053-1705fe0aef77
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1
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Adaptive Resonance Theory-based neural algorithms for manufacturing process quality control, file e0c31c07-d77c-4599-e053-1705fe0aef77
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1
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Using Partial Least Squares Regression to analyse Quality in Higher Education, file e0c31c07-d955-4599-e053-1705fe0aef77
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1
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Factors affecting the force variability in micro-end-milling, file e0c31c07-e814-4599-e053-1705fe0aef77
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1
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Factors affecting the force variability in micro-end-milling, file e0c31c07-e815-4599-e053-1705fe0aef77
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1
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Factors affecting the force variability in micro-end-milling, file e0c31c07-e816-4599-e053-1705fe0aef77
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1
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Statistical process control for geometric specifications, file e0c31c07-ee3f-4599-e053-1705fe0aef77
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1
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An error model for functional tolerancing ofsolar collectors, file e0c31c07-f1b1-4599-e053-1705fe0aef77
|
1
|
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An error model for functional tolerancing ofsolar collectors, file e0c31c07-f1b2-4599-e053-1705fe0aef77
|
1
|
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Fattori determinanti per la qualità nella fresatura di precisione, file e0c31c07-f779-4599-e053-1705fe0aef77
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1
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Vertical Density Profile Monitoring using Mixed-Effects Model, file e0c31c07-fc44-4599-e053-1705fe0aef77
|
1
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Cutting force prediction performance of a microcutting slip-line field model in brass machining, file e0c31c08-0c9b-4599-e053-1705fe0aef77
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1
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Experimental verification of a slip-line field model of orthogonal cutting in the microscale, file e0c31c08-1196-4599-e053-1705fe0aef77
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1
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Experimental verification of a slip-line field model of orthogonal cutting in the microscale, file e0c31c08-1197-4599-e053-1705fe0aef77
|
1
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Experimental verification of a slip-line field model of orthogonal cutting in the microscale, file e0c31c08-1198-4599-e053-1705fe0aef77
|
1
|
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Procedure for the identification of the focal plane position in high power fiber laser systems, file e0c31c08-1f8b-4599-e053-1705fe0aef77
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1
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Geodesic Gaussian Process for the Reconstruction of Micro-Pins Surfaces, file e0c31c08-1f9c-4599-e053-1705fe0aef77
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1
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Geodesic Gaussian Process for the Reconstruction of Micro-Pins Surfaces, file e0c31c08-1f9d-4599-e053-1705fe0aef77
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1
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Statistical Process Control for geometric Specifications: on the monitoring of roundness profiles, file e0c31c08-384d-4599-e053-1705fe0aef77
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1
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Data reduction in quality inspection of geometric shapes, file e0c31c08-3a94-4599-e053-1705fe0aef77
|
1
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Data reduction in quality inspection of geometric shapes, file e0c31c08-3a95-4599-e053-1705fe0aef77
|
1
|
|
Microdrilling of AISI 304 Stainless Steel: process parameters range, hole quality and tool wear, file e0c31c08-4724-4599-e053-1705fe0aef77
|
1
|
|
Workpiece surface flatness improvement by tool length compensation in micromilling, file e0c31c08-b06c-4599-e053-1705fe0aef77
|
1
|
|
Geometrical quality improvement of high aspect ratio micromilled pins, file e0c31c08-b0da-4599-e053-1705fe0aef77
|
1
|
|
Economical comparison of cryogenic vs. Traditional turning of Ti-6Al-4V: A case study, file e0c31c08-d2d5-4599-e053-1705fe0aef77
|
1
|
|
On the Effectiveness of Profile Monitoring to Enhance Functional Performance of Particleboards, file e0c31c08-ec26-4599-e053-1705fe0aef77
|
1
|
|
Application of neural-based algorithms as statistical tools for quality control of manufacturing processes, file e0c31c09-4872-4599-e053-1705fe0aef77
|
1
|
|
Il Monitoraggio dei processi additivi, file e0c31c09-4a96-4599-e053-1705fe0aef77
|
1
|
|
Optimal setup of a multihead weighing machine, file e0c31c0a-9d2b-4599-e053-1705fe0aef77
|
1
|
|
Using recycled material to produce gas-atomized metal powders for additive manufacturing processes, file e0c31c0f-9c83-4599-e053-1705fe0aef77
|
1
|
|
Multi-objective scheduling in hybrid flow shop: Evolutionary algorithms using multi-decoding framework, file e0c31c10-101b-4599-e053-1705fe0aef77
|
1
|
|
Fast optimisation procedure for the selection of L-PBF parameters based on utility function, file e0c31c12-7543-4599-e053-1705fe0aef77
|
1
|
| Totale |
4.628 |