A large number of tools in turning-milling machines run the risk of collisions during the machining process owing to their wrong disposition, mistakes in their recognition, and lack of proper communication feedback. As the system is unable to intelligently identify the tools, it fails to avoid collisions, already from the early steps of machining. This study is aimed at developing a fast, precise, and robust automatic identification method for cutting tools in turning-milling machines. To classify the large number of types of tools in those machines, the applicability of deep convolutional neural networks is explored, employing images of the tools as data input. Subsequently, feature detection, description, and matching are performed to improve accuracy. In the second phase, on-machine dimension measurement is performed by utilizing a contact-based displacement sensor with considering the output of identification phase. The proposed approach results in high accuracy of tool identification and accurately measures the correct dimensions of the tools.

In this research, we aim to achieve better performance of substance discrimination using hyperspectral images than our latest work with PLS regression analysis. The PLS regression analysis necessitates training of classifiers whose total number is the same to the number of classes. Since training many classifiers is time-consuming, a neural network is applied to solve this problem. Moreover, genetic algorithm (GA) is introduced to obtain valid channels for the substance discrimination to avoid input of all the channels. Since this approach can optimize the number of valid channels and theirs types simultaneously, the proposed method is effective. In experiments, the proposed method and the previous method were compared with two image datasets. In the first dataset, the best intersection over union of the proposed method and previous method are 0.953 and 0.965. In the second dataset, the best accuracy of the proposed method is 0.859 while the previous method is 0.695.

Ultrasonic Transducer in the wire bonding machine is a key component to determine its bonding speed, and is demanded to be downsized with keeping high rigidity performance for high-speed bonding process. In this paper, a modeling of the ultrasonic transducer vibration and a new ultrasonic transducer with slit structure near the fixation parts is discussed. The piezoelectric element designed by an analytical model has 45% lighter weight than the conventional one. The slit type ultrasonic transducer newly proposed and simulation by finite element method has 66% lighter weight and 2.44-times higher rigidity than the conventional one. As a result, the slit type ultrasonic transducer enable 200G acceleration motion at Z direction of wire bonder from 160G by previous one and it shorten 33% of rising ultrasonic vibration time. Finally, it makes 17% faster cycle time to make wire, it has a potential to improve productivity a lot.

We propose a brand-new measurement method for glossy surfaces by the unique lighting module with a transmission type holographic optical element (HOE). Since the diffracted lights from HOE has large chromatic dispersion, the diffraction direction is determined by colors. This characteristic means that light ray directions from glossy surfaces can be analyzed using chromatic property in captured image. In our method, hue value is treated as a function of light ray direction. Therefore, normal direction on a surface in each pixel can be estimated by using hue value in the same pixel. In this paper, relations between hue values and light ray directions are estimated using approximated formula and we discuss the calculation result for sample objects.

While many components used in automobiles, household electric appliances, etc., are becoming more compact, the size of most machine tools used for machining such components remains unchanged. Therefore, to improve the efficient use of factory space and economical use of energy, machine tools are required to be compact adopting to the size of workpieces.

Therefore, in spite of the many requirements of the market related to the miniaturization of machine tools, a miniaturized NC machine tool has not been widely regarded. The conventional structure of machine tools such as a cast body or welded steel plate body is recognized as being the best. This preconception is one of the obstacles to solving this problem.

We have developed a new CNC lathe with a pipe frame structure. This structure is expected to enable the miniaturization of machine tools while ensuring sufficient space for the discharge of cutting chips. In this structure, the heat transfer between the pipe elements and connecting blocks strongly affects the axial displacement of the pipes.

In this paper, we investigated fundamental performance of the developed lathe, and machined workpieces precision by comparing those of conventional lathes.

Close-packed structures of fine particle can be obtained by self-assembly process aiming at various applications such as gas sensors. However, the particles are retained on the substrate with weak attractive forces, and thus the application field of the structure is limited. This study proposes a method to produce composite structure of silica particles and cellulose nanofibers (CNF). Gravity sedimentation method was applied to produce close-packed silica particle monolayer and CNF layer on the top of the particles. This combination aims at fixation of particles with hydrogen bonding between hydroxyl group on silica particles and CNF. The adhesion force of the particle was measured by peeling a particle with a microprobe and measuring the deflection of the probe of which stiffness is known.

The material of parts produced by laser stereolithography is a photopolymer. The photopolymer parts must be reinforced by particles or short fibers in order to increase the mechanical strength of the parts. However, the strength of the reinforced photopolymer parts are not so increased because the photopolymer exists between the reinforcement materials. Therefore, it is necessary to reinforce from one end to another end of the part and along the shape of the part by long fibers. The purpose of this research work is to develop the process. Carbon fiber is selected as the long fibers because the carbon fiber has high tensile strength and flexibility. The fabricating conditions for example, the laser beam power, drawing speed of the beam and the thickness of the photopolymer were examined. Several examples were produced using these conditions.

By applied electric field mixing (EFM) showed antigen-antibody reaction time in an immunohistochemical staining can be shortened from 90 minutes of conventional method to 10 minutes. In this study, EFM examined the mechanism which makes antigen-antibody reaction of an immunohistochemical staining quicken. As a result, we obtained that it has the mechanism which a reaction time of an immunohistochemical staining is shorten because antigen and antibody improve to increase the frequencies of contact under EFM compared with conventional method. Further, we investigated the effect of AC electric field is applied on antibody. As a result, it found that by applied AC electric field to antibody liquid, antibody dispersed and stabilized, therefore, staining quality is improved.