Study on Virtual Design of Spray Bottle Compression

Due to the need of packing and transportation, after many boxes are piled up, it is often found that the spray bottle is compressed and deformed. The original spray bottle design scheme cannot meet the requirements, but if more bottles can be placed in each box, the number of bottles can be reduced. transportation cost. Redesigned spray bottles using OptiStruct, a virtual optimization tool, have achieved outstanding results in cost savings and improved product performance.
OptiStruct is a finite element-based structural optimization design tool developed by the American Altair Engineering Corporation. It can generate conceptual design solutions based on given overall information. Given the load, constraints, and product performance requirements, OptiStruct can design product profiles. This design defines ribs, ribs, and stamping modalities while meeting performance requirements. Optimizing designs can help designers develop new designs. The use of this technology can often lead to improved design performance while allowing users to reach design goals faster than traditional methods.
Virtual Optimization In the traditional development process, computer technology is often used only in the design (CAD) and engineering simulation (CAE) phases, so it must be repeated and coordinated throughout the design phase. With OptiStruct, the design meets the requirements in the conceptual design phase, greatly reducing the iterations, saving time for product innovation and shortening the time to market.
At the same time, OptiStruct's four optimization functions are able to meet the design requirements of different industries and different products:
1. Topology optimization: The optimal material distribution can be determined in a given design space, reducing the material distribution in non-critical areas;
2. Morphology optimization: The layout of calendar ribs can be determined on thin-walled parts;
3. Shape optimization: used to modify the shape of existing parts;
4. Size optimization: Various parameters of the ideal component can be designed.
Moreover, the combination of conceptual design methods and industrial design methods has achieved three key goals: increase the number of spray bottles and bottling boxes, reduce the materials needed for packaging, and reduce bottle weight. Thanks to the optimisation method, people can find better bottling solutions in less time than traditional design methods. The design and packaging standards that need to be considered for this new design include:
1. Spray bottle design space;
2. Performance (in the top load, fill and drop load conditions);
3. The label area;
4. Selection of load conditions;
5. The number of bottles in each box;
6. Stacking height;
7. Spray bottle direction;
8. The size of the bottle.
Simulating the spray bottle design To understand the basic performance of the spray bottle, we simulate the top pressure, fill, and drop of an off-the-shelf 32-ounce spray bottle. Figure 1 shows the stress cloud at the deformed shape of the top pressurized bottle and the force-time curve at the right.


Figure 2 shows the stress cloud and deformation of the bottle during filling and dropping.
Based on this, a pre-study study was conducted. Five bottle designs with a fixed height but different length and width were selected. This study has ranked some elements, such as: bottle stability, the number of bottles per tray, stacking mode and design feasibility. Finally, the 8 kinds of conceptual sketches in Figure 3 were formed in this study.


Based on industrial design experience, the above eight conceptual design schemes were ranked and evaluated. Factors considered included: effective volume, label area, aesthetics, handle shape, top load capacity, and manufacturing. Based on these sorting and evaluation results, the RADIUS scheme was finally chosen. Figure 4 shows the 3D model. This model will then be used to optimize the performance of the structure.



Optimized design The new bottle engineering team then used OptiStruct software to perform a combination of shape optimization and size optimization on the structure, thereby optimizing the strength performance for the top load, fill, drop and other conditions while minimizing the weight. . Figure 5 shows the location of the bottle shape variables. They include Shape variable 1 and Shape variable 2, and the size of the optimized range of variables (t1 to t8). Different positions are set to different thicknesses. . The bottle at the top of the bottle is not designed as a design space because the bottle cap is screwed on


Figure 6 shows the optimal design results. It can be seen that the thickness of the bottle at different heights is not equal, and the structure has changed at the position of the two shape variables.

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