Here we present an AM simulation data generated from Autodesk Netfabb Local Simulation, a non-linear finite element thermo-mechanical solver for additive manufacturing (AM) processes. The dataset contains two simulation trials based on Ti-6Al-4V material under various processing conditions. The simulation software generates fine-scale thermal data of laser scanning path and corresponding mechanical properties data across all time frames. Each dataset contain timestep folders and all related thermal and mechanical properties data can be found within timestep folders.
This zipped folder contains the measurment data used for the redaction of the manuscript number MSSP19-711 untitled “Inverse identification of the acoustic pressure inside a U-shaped pipe line based on acceleration measurements”.
A "ReadMe" text file provides informations about the various data.
Database with the transcript of 26 interviews carried out from 12/09/2017 to 11/16/2017, about the incentive policies for the internationalization of research.
The interviews were conducted together with the most relevant researchers in the ADI (Information Administration) area, divided into 4 groups, considering their experience, international insertion, leadership and position as coordinator of a master's and doctoral program in Administration. The geographical distribution of the interviewees was also considered, thus seeking to cover realities in different regions of the country. 26 researchers participated.
Contributors:Eike Matthies, Joerg Thomae, Katarzyna Haverkamp, Kilian Bizer
While an increasing number of conceptual studies postulate that vocational education and training (VET) activities have a positive impact on the innovative capacity of training companies, empirical evidence on the subject remains scarce. This study exploits establishment data from a representative survey of German companies to estimate the effects of firms’ participation in initial VET on their innovation outcomes. The results show that the impact of VET activity on innovation is more ambiguous than postulated. Overall, the participation in initial VET has virtually no effect on product innovation and radical novelties. For the total population of all German companies, the positive impact of VET activities is only observable in case of process innovation. However, our results point to significant causal effects on the innovative capacities of small and medium-sized enterprises (SMEs).
The empirical analysis rests on cross-sectional data from the IAB Establishment Panel (wave 2017; DOI: 10.5164/IAB.IABBP9317.de.en.v1). The IAB panel is an annual representative employer survey on various topics such as the determinants of labour demand. We analyzed the IAB data via remote data access.
In this repository, the three Stata Do-Files used for the empircal analysis are provided:
1. Data preperation Do-File
2. Analysis Do-File for the whole sample
3. Analysis Do-File for SMEs
The data of the 2017 wave of the IAB Establishment Panel is available at the Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB). For furter information see https://fdz.iab.de/en/FDZ_Establishment_Data/IAB_Establishment_Panel/IABBP_9317.aspx.