ABSTRACT
Employee psychological reactions to micro-corporate social responsibility (CSR) have recently been expanded in interdisciplinary management science research. The shreds of evidence in this regard are inconclusive, fragmented, and underdeveloped about how employee cognitive, behavioral, and affective dimensions of attitudes toward micro-CSR relate to each other and shape employee societal behavior (SB). In application of dual-process theories of attitude-behavior relations, we investigate the intra-relationships of perceived CSR-community (PCSRC; cognitive dimension of attitude), CSR engagement (CSRE; behavioral dimension of attitude), CSR positivity (CSRP; affective dimension of attitude). Also, we explore how these variables influence employee SB with a moderated-mediated model. Based on the opinions of 440 Bangladeshi employees as respondents, a structural equation modeling analysis confirmed the positive links from PCSRC to SB, PCSRC to CSRE, CSRE to SB, PCSRC to CSRP, CSRP to SB, and CSRP to CSRE. It also reported that CSRE mediated the relation between PCSRC and SB. It further examined that CSRP did not moderate the direct relation between PCSRC and SB, and the indirect relation between PCSRC and SB via CSRE at low, medium, or high employee CSRP. There are very crystal study implications that address policymakers to adopt CSR policy and its implementation strategies, accordingly, to employees' psychological reactions to micro-CSR.
ABSTRACT
As promising technology with low requirements and high depositing efficiency, Wire Arc Additive Manufacturing (WAAM) can significantly reduce the repair cost and improve the formation quality of molds. To further improve the accuracy of WAAM in repairing molds, the point cloud model that expresses the spatial distribution and surface characteristics of the mold is proposed. Since the mold has a large size, it is necessary to be scanned multiple times, resulting in multiple point cloud models. The point cloud registration, such as the Iterative Closest Point (ICP) algorithm, then plays the role of merging multiple point cloud models to reconstruct a complete data model. However, using the ICP algorithm to merge large point clouds with a low-overlap area is inefficient, time-consuming, and unsatisfactory. Therefore, this paper provides the improved Offset Iterative Closest Point (OICP) algorithm, which is an online fast registration algorithm suitable for intelligent WAAM mold repair technology. The practicality and reliability of the algorithm are illustrated by the comparison results with the standard ICP algorithm and the three-coordinate measuring instrument in the Experimental Setup Section. The results are that the OICP algorithm is feasible for registrations with low overlap rates. For an overlap rate lower than 60% in our experiments, the traditional ICP algorithm failed, while the Root Mean Square (RMS) error reached 0.1 mm, and the rotation error was within 0.5 degrees, indicating the improvement of the proposed OICP algorithm.
ABSTRACT
Cast nickel aluminum bronze (NAB) alloy is widely used for large engineering components in marine applications due to its excellent mechanical properties and corrosion resistance. Casting porosity, as well as coarse microstructure, however, are accompanied by a decrease in mechanical properties of cast NAB components. Although heat treatment, friction stir processing, and fusion welding were implemented to eliminate porosity, improve mechanical properties, and refine the microstructure of as-cast metal, their applications are limited to either surface modification or component repair. Instead of traditional casting techniques, this study focuses on developing NAB components using recently expanded wire arc additive manufacturing (WAAM). Consumable welding wire is melted and deposited layer-by-layer on substrates producing near-net shaped NAB components. Additively-manufactured NAB components without post-processing are fully dense, and exhibit fine microstructure, as well as comparable mechanical properties, to as-cast NAB alloy. The effects of heat input from the welding process and post-weld-heat-treatment (PWHT) are shown to give uniform NAB alloys with superior mechanical properties revealing potential marine applications of the WAAM technique in NAB production.
