수송기용 고내광성 섬유 염색·가공 공정 실험 정보 [개요] ㅇ 대상기간 : 2022~2024년 ㅇ 염색·가공 공정 실험 정보 ㅇ r-PET 염색·가공 원단 실험(전처리-침염-후처리) 온도 및 시간 등 [특징] ㅇ r-PET 섬유의 염색 및 가공 과정에서의 전처리, 염색, 후처리 조건(온도, 시간 등) 정보. [활용사례] [최적 공정 레시피 설계] ㅇ r-PET 섬유의 염색·가공 공정 최적화를 통해 자동차 내장재 생산 공정의 효율성 증대 ㅇ 제조 공정 중 에너지 절감 및 탄소배출 저감을 위한 친환경 공법 적용

Digital light processing (DLP) vat photopolymerization (VP) additive manufacturing (AM) uses patterned UV light to selectively cure a liquid photopolymer into a solid layer. Subsequent layers are printed on to preceding layers to eventually form a desired 3 dimensional (3D) part. This data set characterizes the 3D geometry of a single layer of voxels (volume pixels) printed with photomasks assigned random intensity levels at every pixel. The masks are computer generated, then printed onto a glass cover slide. Geometry of the printed voxels is characterized by laser scanning confocal microscopy. The data were originally curated to train image-to-image U-net machine learning models to predict voxel scale geometry given arbitrary photomasks, as described in the publication "A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks". Data are provided in a raw (native microscope format and photomask image) and processed into aligned mask-print training pairs. A total of 1500 8 pixel × 8 pixel (i.e. 96 000 pixel interactions) training pairs are provided. Jupyter notebooks for various steps in process are also provided.

In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing and managing images and videos of the printing process during extrusion of single filaments, pairs of filaments, and triplets of filaments. The link to the GitHub release goes to the state of the code when the paper was submitted. From there, you can also access the current state of the code.

,Oznaczono ścieralność dla sześciu materiałów: tekstolit, polioksymetylen (POM), poliuretan (PU), poliamid (PA), teflon (PTFT), polietylen (PE). Odporność na ścieranie w wyniku oddziaływania mechanicznego na powierzchnię próbek testowych mierzono za pomocą obracającego się cylindrycznego urządzenia rolkowego, a procedura była zgodna z normami ISO 4649:2010 [5]. Odporność na ścieranie wyrażono jako względną utratę objętości (DVrel) próbki w porównaniu z arkuszem ściernym skalibrowanym przy użyciu standardowego wzorca, którym była standardowa guma z Federalnego Instytutu Badań i Testowania Materiałów (Berlin, Niemcy) (ISO 4649:2010, standardowy związek odniesienia nr 1). Cylindryczna próbka do badania elastomeru (średnica 16 ± 0,2 i wysokość 10 mm) została zamocowana tak, aby przesuwała się po arkuszu ściernym przy nacisku 10 N ± 0,2 N w odległości 40 m i obracała się podczas testu. Arkusz ścierny został przymocowany do powierzchni obracającego się walca walcowego, o który przytrzymywana była próbka badawcza i po której ją przesuwano. Oznaczenie ścieralności dla każdego materiału konstrukcyjnego wyznaczono na podstawie trzech niezależnych pomiarów.,

This dataset includes the files pertaining to a 3D additive manufacturing experiment performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung on July 11, 2019. The experiment included 55 separate laser scanned 'pads' created on a bare-metal plate. Each pad corresponds to a different laser processing setting, described in the paper Yeung et al. 2020 (https://doi.org/10.1016/j.mfglet.2020.07.005). Files include the input command files, in-situ process monitoring data and metadata, and ex-situ microscope photographic images of the pad surfaces. This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (https://www.nist.gov/el/ammt-temps/datasets).

This dataset includes the files pertaining to a 3D additive manufacturing experiment performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung on July 11, 2019. The experiment included 55 separate laser scanned 'pads' created on a bare-metal plate. Each pad corresponds to a different laser processing setting, described in the paper Yeung et al. 2020 (https://doi.org/10.1016/j.mfglet.2020.07.005). Files include the input command files, in-situ process monitoring data and metadata, and ex-situ microscope photographic images of the pad surfaces. This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (https://www.nist.gov/el/ammt-temps/datasets).

To verify and validate the HR-VPTM technique, both synthetic images and gels with embedded particles undergoingcontrolled deformations were used to compared known and reconstructed deformations at assorted strain-ratesor frame-rates. We simulated the light-field representation of particles undergoing motion with ray tracing andinvestigated the sensitivity of the measurement technique to synthetic noise floor and various motion fields. Inexperiments, a custom-built device deformed a hydrogel specimen in nominally simple shear at applied strain ratesapproximately 2 1/s, while light-field images were collected at approximately 500 frames per second frames per second. Files and formats include .tif images (raw data, input), .mat (reconstructed images, tracking results),.txt, .csv, and .yaml (all metadata).See also the data on MINDS@UW (https://minds.wisconsin.edu/handle/1793/83031), the accompanying paper in Experimental Mechanics (https://doi.org/10.1007/s11340-022-00885-z), and the complete code package released by collaborators at UW-Madison (https://github.com/francklab/HR-VPTM).

This dataset contains information from investigating the effects of micro-computed tomographic imaging irradiation on vinyl nitrile foam and code for a finite element user material to model these effects. More details are available in the README.txt and data_summary.txt files in the main directory.Data in the repository includes exposure and dosage calibration files (.csv, .dat, .mat, .in, .png. .jpg), imaging data from optical microscopy (.tif, .zvi) and scanning electron microscopy with energy-dispersive spectroscopy (SEM EDS) (.tif, .png, .docx). Also included is characterization data from differential scanning calorimetry (DSC) with metadata (.tprc, .tseq), test data (.tri, .csv) and analysis metadata and data (.py, .m, .tri, .xls, .xlsx, .pdf), characterization results data via dynamic mechanical analysis (DMA) and stress relaxation (SR) with metadata (.tprc, .csv), test data (.tri, .csv) and analysis metadata and data (.py, .m, .tri, .xls, .xlsx, .pdf). Data from characterization via differential scanning calorimetry metadata (.tprc, .tseq), test data (.tri, .csv) and analysis metadata and data (.py, .m, .tri, .xls, .xlsx, .pdf). Data from characterization via Fourier transform infrared spectroscopy (FTIR) generates metadata (.spa, .csv, .exp), test data (.spa, .csv) and analysis metadata and data (.xls, .csv, .pdf), and data from Soxhlet extraction (.xlsx). Each test type includes textual descriptions (.txt) and/or photographs (typically .jpg) to aid in completeness, describe measurands and measurement uncertainties, and explain the file organization. A .zip file containing code for a calibrated finite element user material for mechanical model that includes radiation and temperature effects is also included in the main directory. Please contact the authors with any questions.This dataset consists of approximately 335 files that require ca. 605 MB of storage.

This dataset is a supplement to the paper titled "Fiber Orientation Angle Effects in Machining of Unidirectional CFRP Laminated Composites" (https://doi.org/10.1016/j.jmapro.2014.06.001). High speed videography of eight cutting tests were performed to study how cutting angle effects cutting force and workpiece surface finish. A description of the experimental setup, as well as a discussion of results, are given in the paper. Files containing video, thermal, force, and synchronization data for the tests are available for downloading. Detailed description is provided in the document "CFRP_Machining_Data_Description.pdf".