Injection Molding Direct Joining (IMDJ) is a direct joining technology that employs surface pre-treatment of metals and plastic injection molding for joining, eliminating the need for additional components such as screws and adhesives. For surface treatment, we use microblasting, because it is a very simple and inexpensive method that reduces costs and enables high productivity and eco-friendly surface treatment. However, based on our understanding so far of blasting, many issues remain unresolved. The primary issue is the lower strength of single blasting. In this study, we perform surface pre-treatment by conducting a secondary blasting on the basis of the initial one. We utilize blasting particles of various sizes and types (such as white alumina and glass beads). We compared the joint strength and conducted a lateral comparison. Additionally, we employed a heating process to verify its effect on strength, since heating can produce microstructure. The results indicate that the secondary sandblasting method can enhance connection strength. The heating process also contributes to an increase in joint strength.

To reduce the environmental damage in manufacturing industry by weight saving, we tried a new approach of designing and manufacturing process about industrial robot arm as a case study, using generative design software and sand mold 3D printer for casting. As a result, we confirmed that topology optimization provides huge effect for current parts to weight saving and there is another way to manufacturing such complex shapes without metal 3D printer.

Although magnetic nanoparticles are currently used as a method for precision polishing, localized processing is difficult due to the possible lack of control over magnetic nanoparticles. Therefore, in this study, the relationship between magnetic flux density and force was investigated by comparing the magnitude of magnetic force required for nanoparticles to attach to the substrate surface by simulation and experiment using a solenoid coil for localized control of magnetic nanoparticles.

On the event of Spin Hall Effect of Light (SHEL), a transverse splitting of light emerges at an optical interface depending on the polarization of the incident light. After the demonstration of weak measurements to observe the SHEL phenomenon, it has been receiving interest and researched for application in many fields, including for precision measurement. By using a pair of polarizers, the state of incident and reflected light can be defined as the weak measurements realization and further used for the SHEL observations. When a linearly polarized beam impinged on the sample, the surface condition of sample will affect the reflected SHEL beam. Observing the change of the transverse shift distance from the recorded reflected beam makes it possible to retrieve the surface condition by SHEL ellipsometry. In SHEL observation using weak measurements, several factors can affect the SHEL ellipsometry measurement such as the beam propagation factor, incident angle, and azimuth angle. In this report, a closer look at the affecting parameters is discussed and confirmed by experiment. While the beam propagation factors generally affect the amplification value, the incident and azimuth angle chosen as experiment parameters can affect the measurement accuracy.

The direct measurement of interaction force between two solid surfaces is capable by using Friction Force Microscope (FFM). The friction force between both surfaces of a silicon tip and a smooth silicon flat are measured, using the Frictional Curve (FC). The friction curve was measured by varying the normal load within a range of 100nN or less. The result showed that it is found by measuring the frictional curve that the frictional force changes depending on the normal load and the frictional force was larger than the macroscopic frictional force. And influence of relative humidity on micro tip adsorption is investigated.

Transportable type long size gauge measuring instrument was equipped some advantage points as low bending influenced own weight, it can be moved therefore to perform CTE measuring in several temperature setting room. Measuring size deviation was reduced to occur vibration for carriage moving on the guide and probing deviation etc. As a result, the repeatability deviation was σ0.0020mm (L=2850mm, n=15), and the average difference from the gauge was -0.0056mm (L=850mm, n=18).

2D measurement technology with sub-nanometer resolution is needed for the development of semiconductors with three-dimensional structures. In this study, the sinusoidal phase modulation interferometer was developed by incorporating an electro-optical modulator into an optical length measurement interferometer. Two types of phase demodulation algorithms are applied to image data to measure two-dimensional in-plane displacement. The first is a method that uses an artificial interference signal and a phase-locked loop, and the second is a method that obtains the phase by adding or subtracting between the data sampled at 12 times the modulation frequency.

As an international calibration standard (ISO 16063-41) traceable to the national standard for laser Doppler vibrometers, secondary calibration method using a reference accelerometer is specified up to 20 kHz, while calibration method up to the MHz order is demanded. This time, we have evaluated the frequency response of the laser Doppler vibrometer in the ultra-high frequency region by inputting the beams of a reference laser interferometer and a laser Doppler vibrometer into the same electro-optic modulator, and will report on the results.

Straightness measurement that using a laser beam is affected by wavefront aberration due to air refractive index fluctuation (air fluctuation). To compensate wavefront aberration, we propose the deep learning method. In this method, deep learning model estimate air fluctuation uncertainty and subtract it from the measurement value. In this study, we focused the change of working distance, which is the propagation distance of laser beam. The goal is to enable estimating the uncertainty by using deep learning the same as previous study.

We have proposed a dynamic observation method using multi-wavelength evanescent field for three-dimensional tracking and visualization to understand the motion of nano-particle in liquid near the surface. In this report, nanoparticles of different diameters were adhered on the tilt surface, which became invisible in water, and the absolute height of each position of the nano-particle in water was verified using multi-wavelength evanescent optical system and interference optical system, and the particle diameters were calculated from the measured absolute heights. The accuracy of the measurement was within ±5 nm of the actual particle diameter.