The method of acquisition, analyzation and evaluation of cutting characteristics was developed on a hollow rectangular tube-like structure made of an electrical insulating paper (so called the slot liner in the motors of electric vehicles). The slot liner was cut by a steel disk blade. The cutting force was measured by the dynamometer, to evaluate the specific energy of the cutting: Cp, and the ratio of tangential and normal component of the force: μ, as the indicators of the cutting quality. Parameter estimations were applied using computer simulations of the slot liner in evaluating Cp and μ, with different cutting history (cutting length) of the blades. The difference of the cutting quality was found in variation of μ. Then filling up the hollows using the solid type jig and observations of by high-speed camera were helpful for eliminating the effect of the deformation.

If an outlier exists, an accurate roughness evaluation is not possible. The solution of this problem is insufficient only by calculating a mean line and roughness profile by robust filter. In addition to it, excluding of the outlier region is necessary. Fast M-estimation based Gaussian filter (FMGF) is the robust Gaussian filter using the fast M-estimation method that is developed so far by authors. The FMGF shows robustness only for the outliers such as spike noise, then the output agrees with the Gaussian filter output when no outlier exists. In this paper, the region of the outlier is extracted from the roughness profile by using the characteristic of FMGF and GF. And the roughness parameter is calculated from the data that excluded the spike noise, without needing manual data processing.

This paper proposes the servo-type jerk sensor for horizontal direction. In the previous research, the servo-type jerk sensor for vertical direction has realized and applied to the anti-vibration apparatus. This paper shows the improvement of the jerk sensor performance by reexamining the servo mechanism. The authors show the desired parameters of the jerk sensor necessary to realize Butterworth filter characteristics and the parameter adjustment methods to realize the desired parameters. By applying the proposed parameter adjustment methods, the proposed jerk sensor achieves the following characteristics; wide range of frequency bandwidth and high sensitivity. The authors also show the feasibility of improving the sensitivity of the proposed jerk sensor by replacing the internal position sensor for the high sensitivity sensor, such as the LASER displacement sensor. Finally, two experimental results show the applicability of feedback controls for a linear slider system and a pneumatic stage system.

I reported in previous paper that high precision arrangement in LMBG (Linear Motion Ball Guide) System is able to realize by introducing an art to optimize the crowning shape in both ends of raceway surface. This art was spread in industrial sector centering on Machine Tool. However, it was reported that high precision cannot be obtained with this art for the rare occasion. When I watched a number of real machines reported, it seemed that most of them were equipped with slim table. I thought that LMBG causes waving phenomena alone so that the connected table deformed infectiously, and consequently the waving amplitude did not become smaller and high precision could not be acquired. In this study, therefore, I performed an analysis which combined the load distribution theory and table deformation calculation so as to take account of table stiffness by LMBG model for the breakthrough of stiffness and waving relation. In conclusion, there found that the waving of LMBG alone transforms the table and there is a correlation between them. I led of the stiffness of LMBG and table design guideline so as to realize high accuracy including the challenge of table deformation from those relation. I report, in addition, the relation between the table stiffness and waving amplitude value were clarified through the experimental verification.

Extension mechanism is attracting attention to use for capturing mechanism of the active debris removal spacecraft. Authors developed the debris capturing end effector consist of multiple wire action 2 stage extension mechanism. This mechanism is selected because of its high extension ratio, fast extending speed, high stiffness and retry capability using single motor. This end effector and mechanism's experimental results showed that it satisfies the requirements. However, this mechanism is not yet evaluated to use in space environment. In this study, wire actuation 2 stage extension mecha- nism's movement is discussed, and equation of motion is proposed to discuss which data to be acquired to evaluate the mechanism to use in space. The device to obtain the data is introduced, and experimental results shows that the introduced device can well acquire the data. Experiment inside the vacuum chamber is also conducted, and the results showed that this mechanism can be used in space environment.

In order to achieve high precision machining and high productivity, it is necessary to optimize machining data for a machine tool to be used, its control system, and shapes to be machined. Machining data are usually not optimized because it is generated by the CAM system as NC data based on general information. In the conventional process chain, even if the machining data is properly improved at the production site, there is no mechanism to reflect that in the previous process, so that the improvement information is not utilized. In this study, a shared database and a data model to share and inherit information in all processes from design to production is proposed in order to generate optimized machining data for the target machine tool and machining shape. The shared database and the data model enable non-expert operators to generate high-quality machining data like experts. In addition, it is also possible to reuse the information on the modified cutting conditions improved by experts at the machining site via a shared database. The effectiveness of the proposed shared database and data model is confirmed by experiments.

Vascular cell senescence and vascular aging are known to be associated with serious vascular diseases, such as arteriosclerosis and aneurysm generation. However, it is unclear how cellular dedifferentiation and senescence affects cellular contractile force which is especially important for vascular smooth muscle cells. Here we investigated the changes in the cellular contractile ability during repeatedly passage-cultivation that promotes cell dedifferentiation and senescence. Porcine aortic vascular smooth muscle cells exposed to several passage-cultivation were seeded on the polydimethylsiloxane-based elastic micropillar array substrates, and their whole cell contractile forces were preciously estimated by the deflection of the pillars. Furthermore, we dissected intracellular actin stress fibers in living cells by laser irradiation to release their pretension, observed the dynamic behavior of the dissected stress fibers, and estimated the internal tension of individual stress fibers. We found that the both of the whole cell contractile forces and the internal tension of individual stress fibers were significantly decreased in cell dedifferentiation and senescence induced by repeatedly passage-cultivation, and the decrease was more sensitive in the individual stress fibers than in the whole cell. These results indicate that cellular contractile forces are deeply involved in cellular dedifferentiation and senescence.

In the former papers “Study of the Moment of Inertia Ratio of Feed Axes of Machining Centers to Servo Motors (2nd,3rd)", the interrelation between the moment of inertia ratio of a machine feed axes to servo motors and actual cutting results by a machining center, and also machine feed axes movement driven by the servo motors is studied. The results of these trials show that the servo motors with relatively low moment of inertia contribute to high cycle machining, while those with relatively high moment of inertia contribute to high precision and fine surface machining.

Among those experiments, however, the ones about the fine surface machining were conducted with only one test workpiece. As the fine surface machining has been emerging as a key production technology for smart electronics devises as well as precision dies and molds, the experiments with actual workpieces machined in actual workshops are necessary to confirm the conclusion in the former papers. With this reason plural actual workpieces typically representing recent trend of the fine surface field are machined in this paper through the same process shown in the former ones.

Tool edge chipping occurs easily in the interrupted turning operation, and it causes the increase of the cost and time of machining process and the reduction of machined surface quality. Meanwhile, the adhesion formation is a well-known phenomenon in metal machining. This study presents the results of an investigation of tool edge chipping produced by the adhesion formation and develops an analytical model to predict tool edge chipping in interrupted turning stainless steel SUS304. To promote the adhesion formation, an uncoated cemented carbide tool was used as the cutting tool. The effects of the adhesion on the cutting process were examined by use of both a high-speed camera (HSC) and a 3-component piezoelectric dynamometer. After the cutting test, the damages at the tool edge were observed through scanning electron microscopy (SEM). The experimental results show the adhesion formation has the significant influences on the chip formation process and tool edge chipping formation process. The stable adhesion formed at the tool-chip interface has the tool edge protective effect. To verify the experimental results, an analytical model is developed using both B. Paul's stress criterion and finite element method (FEM). The simulations show very good agreement with the experimental results.