List of Scientific and Physics Equipment products

  • classification:Scientific and Physics Equipment

196~210 item / All 36377 items

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It won't break even after 1 million repetitions! A mat switch with reliable operation, high durability, and low price. Suitable for options in machine tools as well. Please consult us about delivery t...

  • Sensors

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We can accommodate high resistance over 10,000 ohms, with diameters ranging from approximately 30 mm to 8 inches, and we also offer thinning and chip processing arrangements!

  • Other semiconductors
  • Processing Contract
  • Wafer

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Design points to prevent bursting and deformation accidents that occur during fluororesin coating and PEEK coating.

  • Surface treatment contract service

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Explanation of measures against warping, distortion, and chipping caused by heat and blasting during fluororesin coating and PEEK coating.

  • Surface treatment contract service

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Solving fluororesin coating peeling and line stops! Reducing maintenance labor and costs with excellent non-stick properties and wear resistance.

  • DSC_5867.jpg
  • DSC_5745.jpg
  • Surface treatment contract service

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Improving wafer yield: Eliminating metal touch! Preventing micro-scratches and dust generation on carriers with PEEK and fluoropolymer coatings.

  • DSC_7044.jpg
  • Surface treatment contract service

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Standard for a new dissolution testing apparatus

  • Other physicochemical equipment

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Thanks to our unique dispersion system, we can achieve the mixing and dispersion of fine powders in a short time without generating lumps! We can accommodate both continuous and batch processes.

  • IKA+shibuya .png
  • インライン固液混合パイロットプラント.jpg
  • Emulsifier/Disperser
  • Vacuum degassing machine
  • Dispersion/emulsification equipment/homogenizer

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It boasts excellent transparency with a break-resistant transparent stretched PP bottle.

  • Other laboratory equipment and containers

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Dispersion is not determined by the equipment. It is determined by the process design of the resin dispersion system.

  • IKA+shibuya .png
  • インライン固液混合パイロットプラント.jpg
  • 樹脂材料.png
  • Emulsifier/Disperser
  • Vacuum degassing machine
  • Dispersion/emulsification equipment/homogenizer

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プロセスフロー図 .png

What is decentralized process design? Key points for stabilizing quality.

In dispersion engineering, stable quality cannot be achieved solely based on the performance of the equipment. What is important is the overall design of the process, taking into account material properties and process conditions. This is referred to as dispersion process design. Dispersion quality is determined not only by the strength of shear but also by multiple factors such as flow state, residence time, and method of input. If these conditions are not properly designed, localized agglomeration or variation can occur, making it difficult to maintain stable quality. For example, poor wetting during powder input or the occurrence of stagnant areas due to flow bias can lead to clumping or dispersion issues. Additionally, even if the shear energy is sufficient, if it does not act uniformly on all particles, differences in dispersion state will arise. Therefore, in dispersion processes, it is crucial to design "flow," "shear," and "processing time" as an integrated system. This allows for all particles to receive the same dispersion history, achieving uniform and highly reproducible dispersion quality. In particular, inline continuous processing has the advantage of maintaining consistent conditions within the flow, making it easier to ensure reproducibility in process design. Dispersion process design is a key concept for stabilizing quality and successfully scaling up.

Resolve issues of not dissolving and clumping in advance. Test the dispersibility of the protein.

  • IKA+shibuya .png
  • IPROS29562848587318290804.png
  • Emulsifier/Disperser
  • Vacuum degassing machine
  • Dispersion/emulsification equipment/homogenizer

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バッチとローターステーター.jpg

What are the reasons for changes in results from the lab to mass production? Causes and countermeasures for the deterioration of distributed quality during scale-up.

Despite obtaining good dispersion results in the lab, the challenge of unstable quality upon mass production occurs in many settings. The main cause of this is that the dispersion conditions are not replicated due to differences in scale. In lab equipment, the smaller size leads to higher energy density, making shear and flow more uniform, while in mass production equipment, the larger scale often results in insufficient dispersion energy at the same rotational speed and processing time. Additionally, differences in equipment structure and flow patterns can cause variations in the shear history and residence time experienced by particles, leading to differences in the dispersion state. Furthermore, simple scale-up does not ensure that critical parameters such as flow rate, residence time, and shear intensity match, making it difficult to reproduce the same results as in the lab. To address these challenges, it is essential to focus on process design based on dispersion energy density and flow conditions rather than merely increasing equipment size. By designing the system so that particles pass through the processing area under consistent conditions, it is possible to achieve reproducible dispersion quality even when the scale changes, as seen in inline continuous processing.

The strength is determined by the variance. Visualize quality variations through testing before mass production.

  • IKA+shibuya .png
  • ラボ 164105.png
  • ラボ画像?.png
  • Emulsifier/Disperser
  • Vacuum degassing machine
  • Dispersion/emulsification equipment/homogenizer

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バッチとローターステーター.jpg

What are the reasons for changes in results from the lab to mass production? Causes and countermeasures for the deterioration of distributed quality during scale-up.

Despite obtaining good dispersion results in the lab, the challenge of unstable quality upon mass production occurs in many settings. The main cause of this is that the dispersion conditions are not replicated due to differences in scale. In lab equipment, the smaller size leads to higher energy density, making shear and flow more uniform, while in mass production equipment, the larger scale often results in insufficient dispersion energy at the same rotational speed and processing time. Additionally, differences in equipment structure and flow patterns can cause variations in the shear history and residence time experienced by particles, leading to differences in the dispersion state. Furthermore, simple scale-up does not ensure that critical parameters such as flow rate, residence time, and shear intensity match, making it difficult to reproduce the same results as in the lab. To address these challenges, it is essential to focus on process design based on dispersion energy density and flow conditions rather than merely increasing equipment size. By designing the system so that particles pass through the processing area under consistent conditions, it is possible to achieve reproducible dispersion quality even when the scale changes, as seen in inline continuous processing.

Contributes to improving dispersion efficiency and reproducibility in the pre-mixing process before bead milling.

  • MKO中身.jpg
  • IKA+shibuya .png
  • MKO.jpg
  • MKO_silver altern_1_a.jpg
  • Emulsifier/Disperser
  • Vacuum degassing machine
  • Dispersion/emulsification equipment/homogenizer

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プロセスフロー図 .png

What is decentralized process design? Key points for stabilizing quality.

In dispersion engineering, stable quality cannot be achieved solely based on the performance of the equipment. What is important is the overall design of the process, taking into account material properties and process conditions. This is referred to as dispersion process design. Dispersion quality is determined not only by the strength of shear but also by multiple factors such as flow state, residence time, and method of input. If these conditions are not properly designed, localized agglomeration or variation can occur, making it difficult to maintain stable quality. For example, poor wetting during powder input or the occurrence of stagnant areas due to flow bias can lead to clumping or dispersion issues. Additionally, even if the shear energy is sufficient, if it does not act uniformly on all particles, differences in dispersion state will arise. Therefore, in dispersion processes, it is crucial to design "flow," "shear," and "processing time" as an integrated system. This allows for all particles to receive the same dispersion history, achieving uniform and highly reproducible dispersion quality. In particular, inline continuous processing has the advantage of maintaining consistent conditions within the flow, making it easier to ensure reproducibility in process design. Dispersion process design is a key concept for stabilizing quality and successfully scaling up.

Quality changes with dispersion. Pre-validation of the reproducibility of resin materials through testing.

  • IKA+shibuya .png
  • IPROS29562848587318290804.png
  • ラボ 164105.png
  • Emulsifier/Disperser
  • Vacuum degassing machine
  • Dispersion/emulsification equipment/homogenizer

Added to bookmarks

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Bookmark has been removed

Bookmarks list

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バッチとローターステーター.jpg

What are the reasons for changes in results from the lab to mass production? Causes and countermeasures for the deterioration of distributed quality during scale-up.

Despite obtaining good dispersion results in the lab, the challenge of unstable quality upon mass production occurs in many settings. The main cause of this is that the dispersion conditions are not replicated due to differences in scale. In lab equipment, the smaller size leads to higher energy density, making shear and flow more uniform, while in mass production equipment, the larger scale often results in insufficient dispersion energy at the same rotational speed and processing time. Additionally, differences in equipment structure and flow patterns can cause variations in the shear history and residence time experienced by particles, leading to differences in the dispersion state. Furthermore, simple scale-up does not ensure that critical parameters such as flow rate, residence time, and shear intensity match, making it difficult to reproduce the same results as in the lab. To address these challenges, it is essential to focus on process design based on dispersion energy density and flow conditions rather than merely increasing equipment size. By designing the system so that particles pass through the processing area under consistent conditions, it is possible to achieve reproducible dispersion quality even when the scale changes, as seen in inline continuous processing.

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