{"title":"Electrical Resistance Metrology in Nanoparticle Sintering Simulations","authors":"O. Dibua, C. S. Foong, M. Cullinan","doi":"10.1115/msec2022-85997","DOIUrl":null,"url":null,"abstract":"\n Microscale Selective Laser Sintering is an Additive Manufacturing process which involves the creation of parts using nanoparticles, precision substrate motion control, and an optical setup aimed at achieving sub-micron resolution on the printed parts. In order to drive the Microscale Selective Laser Sintering process towards this proposed goal, it is important to understand the kinetics of nanoparticle sintering to be able to make predictions of the properties that can be expected from the manufacturing process. To this end, Phase Field Modelling simulations have been built which model how nanoparticles sinter together when heated. In the past these simulations have yielded measurements such as the densification in the powder bed as a function of temperature and time, however it is extremely difficult to measure the density of parts built from the microscale Selective Laser Sintering system. Electrical resistance is a much more easily quantified property. As such, in order to fully validate these nanoparticle sintering simulations, it is necessary to measure the electrical resistance in the simulation bed and compare these resistance curves against experimentally derived electrical resistance measurements. This paper presents the approach used to extract electrical resistance data from the simulations as well as preliminary resistance results collated from this study.","PeriodicalId":45459,"journal":{"name":"Journal of Micro and Nano-Manufacturing","volume":"34 8 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Micro and Nano-Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/msec2022-85997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Microscale Selective Laser Sintering is an Additive Manufacturing process which involves the creation of parts using nanoparticles, precision substrate motion control, and an optical setup aimed at achieving sub-micron resolution on the printed parts. In order to drive the Microscale Selective Laser Sintering process towards this proposed goal, it is important to understand the kinetics of nanoparticle sintering to be able to make predictions of the properties that can be expected from the manufacturing process. To this end, Phase Field Modelling simulations have been built which model how nanoparticles sinter together when heated. In the past these simulations have yielded measurements such as the densification in the powder bed as a function of temperature and time, however it is extremely difficult to measure the density of parts built from the microscale Selective Laser Sintering system. Electrical resistance is a much more easily quantified property. As such, in order to fully validate these nanoparticle sintering simulations, it is necessary to measure the electrical resistance in the simulation bed and compare these resistance curves against experimentally derived electrical resistance measurements. This paper presents the approach used to extract electrical resistance data from the simulations as well as preliminary resistance results collated from this study.
期刊介绍:
The Journal of Micro and Nano-Manufacturing provides a forum for the rapid dissemination of original theoretical and applied research in the areas of micro- and nano-manufacturing that are related to process innovation, accuracy, and precision, throughput enhancement, material utilization, compact equipment development, environmental and life-cycle analysis, and predictive modeling of manufacturing processes with feature sizes less than one hundred micrometers. Papers addressing special needs in emerging areas, such as biomedical devices, drug manufacturing, water and energy, are also encouraged. Areas of interest including, but not limited to: Unit micro- and nano-manufacturing processes; Hybrid manufacturing processes combining bottom-up and top-down processes; Hybrid manufacturing processes utilizing various energy sources (optical, mechanical, electrical, solar, etc.) to achieve multi-scale features and resolution; High-throughput micro- and nano-manufacturing processes; Equipment development; Predictive modeling and simulation of materials and/or systems enabling point-of-need or scaled-up micro- and nano-manufacturing; Metrology at the micro- and nano-scales over large areas; Sensors and sensor integration; Design algorithms for multi-scale manufacturing; Life cycle analysis; Logistics and material handling related to micro- and nano-manufacturing.