Відео

Yes, you can do that. Just add the additional runs to the factorial design plan. You also don’t need to repeat the experiments you already completed through the factorial design.

Here you go. Already online: How to perform ANOVA ua-cam.com/video/X7oiwUnLCRc/v-deo.html

@ thank you!

Your welcome!

Hey, what you are describing is not really a central composite design but a full factorial design with multiple levels.

Thank you!

Hey, if you perform a 2^2 design with 5 centerpoints then you have a total of 4+5=9 runs which results in 9-1=8 degrees of freedom. Hence, you should be fine with estimating the squared terms individually, or am I completely off?

Thank you 🙏

Thanks 😁

At the time I was using LumaFusion, which is a video editor app for iPad. But now I switch back to classic PowerPoint for the animations and DaVinci Resolve for editing.

@MarcelButschle thank you, much appreciated!

Good news, I’ve already filmed the video, it just needs some editing before it’s ready to go live. But I have three more videos in the pipeline before that on how to get started with python, how to design a full factorial design with python and how to do data visualization in python.

Thank you! Highly appreciated:)

Sometimes 3 minutes of very basics are worth more than a semester at college :)

Did you check my website? I have some examples there: www.experimentaldesignhub.com But I also have some videos in the pipeline that will come out soon. So subscribe if you did not do that already :)

Thank you 😊

Pleasure :)

Working on it 👍

Thank you!

I‘m already working on it :) I have some more resources on experimentaldesignhub.com that I did not had the time to film a video yet. But I will.

Yes 👍 that’s another way to put it

Thanks for letting me know! It’s really motivating to hear that the effort I’m putting into making these videos is paying off by helping others.

Haha 😂 yeah, what can I say. I am trying to get better at it 😅.

Pleasure 😊

Thank you!

Hey Baris, then you are dealing with an unbalanced design. That is not necessarily a problem and ANOVA might still work.

Should I remove these points? As my model should actually be able to have an error less then 1 mm. If I include this points, the model seem to have high error.

Well that depends… how many points do you have in total? And how many replicates did you include into your design? Would it make sense to measure these points that you want to exclude again? Is your prediction still valid when you exclude the points? What happens if you try to predict the results for new parameters that the model was not trained on?

That is exactly why I started with these videos! I have put some more resources on www.experimentaldesignhub.com I don’t know why there is so few information about it. My guess would be that DoE is quite commercialized. Even courses about DoE. They are usually quite expensive and not affordable if there isn’t a company paying for you.

@@MarcelButschle Yes, it seems like many of the courses look like Sigma Six style, optimise your business for less waste and huge profit! I would like to find a comprehensive book or resource written for someone who knows some statistics and wants an overview of the techniques. I just read Naked Statistics and found the style so approachable. NightHawkInLight put out a pretty good video on using the Taguchi method for the layman. I'm thinking of finding the R. A. Fisher book, I think I will be out of my depth but at least most of the information will be in one place. The website looks great, I appreciate your efforts

Do you know the book: Design and Analysis of Experiments by Douglas C. Montgomery? Might be for you.

Thank you

Hey, I am using python version 3.11.7 and it works fine.

I had this recently. Try rolling back your Python version to 3.9.19. Seems pyDOE2 hasn't been updated for some time.

Also, try pyDOE3. It is a recent fork of pyDOE2 and is currently being maintained.

Pleasure :)

Bro, i requested to you kindly share the complete stoichiometry calculation with more example also supply ratio calculation

Hey! Noted! Unfortunately I don’t have the time at the moment. Sorry…

Thank you! Highly appreciated feedback :)

The 0.05 to 0.25 relative pressure range is used in the BET method to ensure accurate surface area calculations, as it corresponds to the linear region of the BET plot where monolayer adsorption occurs.

@@MarcelButschle Thanks!!!

No worries, sorry it took so long for me to respond :)

@@MarcelButschle au contraire, don't you worry. Thanks for answering my question.

The BET method can be used with Type I isotherms, but it may not be ideal. Type I isotherms indicate microporous materials, where the BET assumptions may not hold true.

Hi Mohammed, my approach is to keep it simple. I am aware that there are many different designs that can be very useful to some people but 90% of people will be fine with the combination of fractional design, full factorial design and central composite design. Therefore I am not planning to look into these „specialty designs“.

Thank you :)

Basically yes. You can of course calculate a number but it might not be very meaningful.

Thank you :)

Hey, sure! If you send me an email I can send you the actual Jupyter Notebook file. marcel.butschle@icloud.com

Thank you!

Thank you very much!

Thank you 🙏 very much appreciated! Glad that the video was helpful to you :)

Hey Pagoseto, the atomic radius generally inceases when you move from left to right in the periodic table within a period due to increasing nuclear charge (more protons). However, if you move down a group, the atomic radius increases due to the increasing number of electron shells. Hope that helps.

Thanks for your feedback! Highly appreciated:)

Thank you fightchris! Highly appreciated. Yes, ChatGPT makes it extremely easy to write code. Saves a lot of time and it makes it very easy to get started also when you are less experienced.

Sorry, what is cc?

@@MarcelButschle cc means captions for the video. The video was helpful but it would be better if you include the captions, thank you much for this video

CC = Closed captions. This person is probably asking, "Hey, can you please electronically enable the SUBTITLES so he can read what you'e saying"@@MarcelButschle

Hey, thanks for clarifying! Sorry it took so long but I finally added English subtitles. For some reason, UA-cam doesn’t want to do automatic captions so I added them manually.

Sorry, what is cc?

Thanks!

Pleasure! I’m glad that you liked it :)

Hey, apologies for the late reply. I am not 100% sure but think it should be something like this: At%_i = (A_i/RSF_i / ∑(A_j/RSF_j for all j)) * 100% At%_i: atomic percentage of element i A_i: the peak area (or intensity) of element i RSF_i: the relative sensitivity factor for element i Explanation: When we look at the data from the XPS instrument, we see different peaks for the different elements. Each peak at corresponds to a different element. The number of electrons detected (the height of the peak) tells us how much of that element is present in the material. However, not all elements respond to XPS in the same way. Some elements naturally produce stronger signals (higher peaks) than others, even if they're present in the same amounts. That's where the relative sensitivity factor (RSF) comes in. The RSF is a correction factor that accounts for these differences. By dividing the raw signal (the initial height of the peak) by the RSF for that element, we can get a more accurate picture of how much of each element is actually present. Finally, we normalize the data. This means we adjust the numbers so they add up to 100%. This is useful because it allows us to express the composition of the material in terms of percentages, which are often easier to understand and compare.

Hey pago, thanks for your questions and sorry for the delayed response. 1) They still use epoxy molecules that are BADGE based and you are right, they are not stable against UV-light. However, since the tables are indoor, UV dose is not as high. Thus, yellowing becomes manageable if light stabilizers are added to the resin. 2) I am not an organic chemist and I can’t give you a precise number on this autocatalytic effect. Not even sure how you would measure this impact since there are no epoxy resins that do not form this OH group. The reaction between phenol, formaldehyde and amines yields Mannich bases, which are used as catalyst for the epoxy curing reaction and it is the accelerating action of phenol that leads to this catalytic effect. In general, everything with hydroxyl groups catalyzes the reaction but I guess you already know that since you figured out the effect of the OH group within. And the effect of those might be comparable to DABCO or tin catalysts in PU systems. Hope this answer helps :)

@@MarcelButschle Thanks alot. Nice videos. They help me to refresh my knowledge (i am Studying at Esslingen, like you did) in a fast way.

Hey, sorry it took so long… I finally added English subtitles.