aPriori Technologies vs. Simcenter STAR-CCM+ vs. Working Model 2D

From my experience aPriori is a classical algorithm in data mining. It is used for mining frequent itemsets and relevant association rules. Also, it is devised to operate on a database containing a lot of transactions, for instance, items brought by customers in a store. Whereas aPriori requires high computation if the itemsets are very large and the minimum support is kept very low and the entire database needs to be scanned.

Incentivized

For my personal use case, I found that STAR CCM+ was extremely easy to use, learn, and set up cases for Lagrangian particle tracking cases. Each option was easily found, and parameters to fine-tune the cases were very simple to execute. I had to create a custom field function with a nested If-else loop to account for particle capture on the filter media surface. Setting this up was very easy, and the reference material provided by STAR CCM+ was helpful. Sometimes, on the older version of STAR CCM+, when visualizing the volume mesh, some cells tend to disappear; this shows up even when plotting contour plots on the same section plane. This is improved in the newer version of STAR CCM+.

Incentivized

• Give visibility to cost really quickly
• Be able to benchmark other regions of the world or other process/equipment that can be used to do the same part
• Easily visualize the Geometric Cost Drivers that are more important
• GIve some hints on where to work to get the cost down

Incentivized

• Meshing is very easy to do in STAR CCM+
• Post-processing results is also very intuitive, making extracting results very enjoyable and easy to use.
• The Advanced rendering options that are available in STAR CCM+ can really help make very well-generated videos that can make the simulation easy to visualize, share with non-technical engineers, and showcase the study done.

Incentivized

• Dynamic itemset counting technique can add new candidate itemsets at any marked start point of the database during the scanning of the database.
• The transaction reduction method reduces the number of transactions scanned in interactions. The transactions which do not contain frequent items are marked removed.
• The sampling method picks a random sample from the database for frequent itemset. It may be possible to lose a global frequent itemset.

Incentivized

• Implementing physics like Cox-Voinov model
• Mesh related stability issues
• Chemical & plasma physics
• Integration with other products from Siemens (similar level as we have with Abacus)
• Speed up the lagrangian solver
• Improved guidence on uFluidics & evaporation models
• Interoperability (HEEDS, AMEsim, System Modelling Workbench but also with non siemens products and open source codes required for LBM, DSMC, PIC, DFT...

• Not to Lose the Position of Product Cost Management Importance
• Make Costing Simple and Ease
• Traceablitlity of Previous Costed
• Helps Design Engineers to actually look for the Which Feature contributes for the Most Cycle Time and help Design Engineers to re-design the CAD Model and look for the changes in the Cycle Time and the Machining parameters
• Interactive Cost Insight

Rating is due to below exciting factors which one can feel when we use aPriori;

• Cost engineer need to know "What the part "Should" cost?" instantly.
• One need to understand the cost in various Process group such as casting, forging, machining, additive manufacturing,etc...
• One need to have comparison of various process group in single window
• Ease of finding cost for various location for various currency in single platform

Great single window GUI

Incentivized

Overall, I'm generally satisfied with the response and results that I get from aPriori support. They are intuitive, and try to understand what it is I'm trying to do, or how the problem is affecting me or my organization. They also are very available across the globe, as my team is located in multiple regions.

STAR CCM+ technical support was very quick to respond when a ticket was raised for issues. For support in setting up a test case for the Lagrangian particle tracking technique, a support assist agent was assigned immediately, and after having a detailed discussion, my problem was understood by them, and a suitable test case was shared, which I was able to understand and use to build my case.

Incentivized

aPriori team helped a lot for the implementation, as they were on remote and helping for the file run and implementing the same on remote. aPriori team extrended full support for the implementation resolving the bottleneck and bugs if any during installing the software's also, they provide professional services in order to resolve some technical issue

It is super easy when it comes to implementing it.

Incentivized

Currently, we have not evaluated any other software since aPriori gives most of the things that we want. The kind of reports it gives has enormous information which is used in the discussions & for concrete decisions. Mostly the cost outliers are easy to identify if we take the parts of a particular supplier. The analysis can be used to provide insight for resourcing etc., which gives good savings for the company.

Competitive tools, both Fluent and STARCCM+, but the user interface and ease of learning, along with everything in a single interface, and a wide variety of proven physics capabilities, along with good scalability and automation, made the choice easy for me. Also, the user guide and tutorials available to explore various kinds of Physics capability, and A single license for access to all physics, also made it easy.

Incentivized

• It helps decrease our time to market. So more projects are done than before.
• Being quick to give a quote to a customer is a business advantage. Customers know they can rely on Soucy to get a quick quote. First in gets the business.
• No time spent on concepts that are too expensive anyway!

Incentivized

• I can't think of anything but positive of course. I mean, we've been improving our products, we've been using this to test less to make sure that our products will meet the requirements and meet the objectives that we have. And I've never seen a case where it has been proven otherwise. So yeah, it's been great for us.

Incentivized