Excavator working in the quarry and junkyard, is very difficult to move the things in the truck, because the position of the cab is low, eyesight is not visible. The cab visibility, safety and ease of operation is obtained by the development of the cab lifting system moving the position. To apply cab lifting system on the existing excavator, development of new sub-frame is positively necessary. In this study, the sub-frame, which is suitable for its main function, is manufactured and is verified through hardness test, finite element analysis and endurance test.

High hardness steel generally means its hardness over HRC45. This using CBN tools for turning. Tool breakage and damage during turning process cause material loss and additional tool cost. If it is predicted during the process and accumulate this data as a turning parameter it will be of help to turning mechanism understanding. For this purpose neural technology give beneficial as prediction, categorization, searching and enable nolinear function for pre-diagnosis algorithm. In this study we appraise the accuracy of prediction by applying backpropagation neural networks (BPNs) method in the high hardness steel turning.

The concrete mixer truck which is in charge of raw materials in civil engineering construction of the concrete loading, transport, placement, is used 6m3, 7m3 class in domestic(Korea). But in the case of the international construction fields are utilized 9m3 or above class because of the large-scale engineering and construction circumstances. In this paper, to develop a large 9m3 class mixer drum and the mixer drum in order to complement the technical and discharge that is responsible for stirring the blades by applying optimal design through implementation of the optimal shape of the concrete in the drum maintenance and placement of high-quality effects on increasing discharge such as advanced conventional drum mixer is to secure and differentiated technology. Large, heavy weight in development and uphold the drum mixer vehicle sub-frame is required to settle the design of the existing class mixer drum frames per 6m3 changed to account for changes in slope and length using CATIA V5 3D modeling work was performed.