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Marcel Butschle
Приєднався 27 вер 2021
Welcome to my UA-cam channel where you find videos that will help you to perform better experiments.
🎓 Who I am:
I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world.
Connect with me on LinkedIn 🔗🤝: www.linkedin.com/in/marcel-butschle-09ba79217
Or drop me an email 📧: marcel.butschle@icloud.com
🎓 Who I am:
I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world.
Connect with me on LinkedIn 🔗🤝: www.linkedin.com/in/marcel-butschle-09ba79217
Or drop me an email 📧: marcel.butschle@icloud.com
Understanding Systematic and Random Errors
UNDERSTANDING SYSTEMATIC AND RANDOM ERRORS IN EXPERIMENTAL DESIGN! 🎯
Errors are an unavoidable part of any experimental process, but learning to understand and manage them is crucial to obtaining accurate, reliable results. In this video, we dive into the world of experimental errors, breaking down the differences between random and systematic errors and how they impact your data.
WATCH THIS VIDEO TO LEARN:
- The types of errors in experiments and their causes
- The difference between accuracy and precision in the context of errors
- Strategies for managing errors to improve the quality of your experiments
📖 READ THE BLOG POST:
www.experimentaldesignhub.com/blog/understanding-systematic-and-random-errors
---
CONNECT WITH ME!
💼 LinkedIn: www.linkedin.com/in/marcel-butschle
✉️ marcel.butschle@icloud.com
Errors are an unavoidable part of any experimental process, but learning to understand and manage them is crucial to obtaining accurate, reliable results. In this video, we dive into the world of experimental errors, breaking down the differences between random and systematic errors and how they impact your data.
WATCH THIS VIDEO TO LEARN:
- The types of errors in experiments and their causes
- The difference between accuracy and precision in the context of errors
- Strategies for managing errors to improve the quality of your experiments
📖 READ THE BLOG POST:
www.experimentaldesignhub.com/blog/understanding-systematic-and-random-errors
---
CONNECT WITH ME!
💼 LinkedIn: www.linkedin.com/in/marcel-butschle
✉️ marcel.butschle@icloud.com
Переглядів: 227
Відео
Understanding full factorial design
Переглядів 12521 день тому
A full factorial design is a type of experimental design used in DoE. It combines each factor at each level with every other factor and level to test their individual and combined effects on the response variable. WATCH THIS VIDEO TO DISCOVER: - What Full Factorial Design is - The benefits of full factorial design - Why it is not always a good idea to perform a full factorial design - How to cr...
DoE in 8 SIMPLE steps
Переглядів 206Місяць тому
UNLOCK THE POWER OF EXPERIMENTAL DESIGN (DOE)! 🎨🧪 Design of Experiments (DoE) is your go-to recipe for a systematic and efficient approach to planning, executing, and analyzing experiments. Just like a cooking guide, DoE helps you gather high-quality data by ensuring every step is measured and controlled. WATCH THIS VIDEO TO LEARN: - How DoE can streamline your experimental process - The key st...
An example of a 1/2 fractional design
Переглядів 32111 місяців тому
If you want access to the jupitor notebook file, drop me an email. 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge to people everywhere around the world. Connect with me on LinkedIn 🔗🤝: www.linkedin.com/in/marcel-butschle-09ba79...
Planning and analyzing a 2-level full factorial design in Python
Переглядів 3 тис.11 місяців тому
Access to the code: www.experimentaldesignhub.com/blog/example-of-a-full-factorial-design-in-python Also check out my other blog posts related to experimental design: www.experimentaldesignhub.com/ 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to s...
Why do you need replicates and how many?
Переглядів 237Рік тому
📈 G*Power Software: www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world. Connect with me...
Better experiments: 5 mistakes I fixed for myself
Переглядів 196Рік тому
🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world. Connect with me on LinkedIn 🔗🤝: www.linkedin.com/in/marcel-butschle-09ba79217 Or drop me an email 📧: marcel.butschle@icloud.com
I won a pitch competition with this presentation
Переглядів 133Рік тому
🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world. Connect with me on LinkedIn 🔗🤝: www.linkedin.com/in/marcel-butschle-09ba79217 Or drop me an email 📧: marcel.butschle@icloud.com
Factorial vs fractional vs response surface designs | when to use what?
Переглядів 2,6 тис.Рік тому
Expand your toolbox of experimental designs. Save time and money and become a better researcher! 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world. Connect with me on LinkedIn 🔗...
You can do this with subjective result variables
Переглядів 127Рік тому
Tinking about your result variables is crucial when in comes to planning experiments. Ideally, you want them to be objective, not subjective. But what if they are not? Find out in this video how you can conduct the experiment succesful, still being able to use DoE and statistics for predictions. 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. C...
What are disturbance variables?
Переглядів 158Рік тому
📺 Video about replication, randomization & blocking: ua-cam.com/video/C4dp8Q5S3Xc/v-deo.html 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world. Connect with me on LinkedIn 🔗🤝: w...
The 3 basic rules of DoE
Переглядів 249Рік тому
Replication, randomization and blocking and the three basic rules of experimental design (DoE), which Sir Roland Aylmer Fisher introduced in the year 1926. A must know for everybody who is planning, performing and analyzing experiments. 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been...
What is design of experiments (DoE)?
Переглядів 665Рік тому
Design of Experiments (DoE) is a methodology that can be used for experimental planning. By exploiting powerful statistical tools, it is more efficient, more robust and allows for predictions. But statistics is quite difficult isn’t it? Not with DoE! You don’t need to be a mechanic to drive a car. Same with DoE. You just need to learn a certain set of rules and you are good to go. Today’s softw...
Failings of traditional experimental design
Переглядів 207Рік тому
Traditional experimental design has played a massive role in our scientific understanding, but with the computing power we have today, we should maybe re-evaluate how we design our experiments. 🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share...
PVC & CPVC: How are the properties affected?
Переглядів 459Рік тому
🎓 Who I am: I have a bachelors degree in coating science and a masters degree in material science. Currently I am doing my PhD in coatings technology. Also been passionate about teaching, I want to share my knowledge about coatings to people everywhere around the world. Connect with me on LinkedIn 🔗🤝: [www.linkedin.com/in/marcel-butschle-09ba79217](www.linkedin.com/in/marcel-butschle-09ba79217)...
How to calculate mixing ratios for two component systems
Переглядів 736Рік тому
How to calculate mixing ratios for two component systems
Two component epoxies: Applications, health issues, crosslinking & properties
Переглядів 101Рік тому
Two component epoxies: Applications, health issues, crosslinking & properties
Drying vs. Curing: A Deep Dive into Film Formation Mechanisms
Переглядів 434Рік тому
Drying vs. Curing: A Deep Dive into Film Formation Mechanisms
Organic Coatings 101: A Beginner's Guide
Переглядів 760Рік тому
Organic Coatings 101: A Beginner's Guide
XPS: The powerhouse of surface science
Переглядів 1,3 тис.2 роки тому
XPS: The powerhouse of surface science
Understand isotherms: why they look how they look
Переглядів 4882 роки тому
Understand isotherms: why they look how they look
Components scanning tunneling microscopy
Переглядів 1592 роки тому
Components scanning tunneling microscopy
Imaging modes scanning tunneling microscopy
Переглядів 1692 роки тому
Imaging modes scanning tunneling microscopy
Explaining the tunneling effect to a 6 year old
Переглядів 1592 роки тому
Explaining the tunneling effect to a 6 year old
Really underrated video, Marcel. Straight to the point. Thank you!
Thank you!
The topic of DoE is such a complex field and you've explained this stuff so nice, I'd wish to hear much more on these topics!
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.
“I’m less than a million years old” is 100% accurate, but not very precise “I’m 42.5883828736377262663772828727474888472726616 years old” is very precise - but not accurate
Yes 👍 that’s another way to put it
This is exactly what I needed to know to help understand my experimental results. New subscriber!
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.
Why are there so many edits? I counted three in one sentence
Haha 😂 yeah, what can I say. I am trying to get better at it 😅.
Many thanks for this video! 🎉😊
Pleasure 😊
Excellent presentation. Thank you.
Thank you!
Hey Marcel, Ive got the issue, that the results I have had some slip region included. Now of course when I remove these points, my cubic won't be complete. I tried to make a model based on the remaining runs, Used anova for this.
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?
Thank you for this video. Why is it so hard to find clear information about DOE? It seems like there are 1000 random videos on youtube telling 0.1% of the story. Is it something that is often taught in University classrooms but has not really made its way out to those that are self-studying?
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.
Thanks man. God will reward you.
Thank you
pydoe2 is not not importing well in anaconda python.. it says imp is needed but i cannot install imp in newer version of python. Can someone share what python version works for pydoe2?
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.
Thank you very much for your explaining.
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…
Love your work. Thanks, your teaching is very clear even for a newby inthe subject like me.
Thank you! Highly appreciated feedback :)
Why do we only work within the 0.05 to 0.25 relative pressure?
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.
Does that mean I can't use bet if I have type I isotherm?
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.
Thank you for this video. Please, if possible how we can do doehlert design in python, Video the scientific community please.
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“.
very clear, many thanks from me who know very little in statistic but have to use it 😊😊
Thank you :)
so we can't calculate Sbet for a zeolite because it us microporous?
Basically yes. You can of course calculate a number but it might not be very meaningful.
Easy to follow and relaxed explainatory video. Thanks for sharing
Thank you :)
This is great, thanks for posting. I work at a startup that's extremely cheap, so having DOE capabilities in python is very cool. Would you be able to share the actual Jupyter Notebook? I couldn't find it on your site.
Hey, sure! If you send me an email I can send you the actual Jupyter Notebook file. marcel.butschle@icloud.com
Great video! Really valuable material. Congratulations :)
Thank you!
Very interesting and well explained
Thank you very much!
Wow the video is so informative but still has very less views strange Very well explained 🙏
Thank you 🙏 very much appreciated! Glad that the video was helpful to you :)
I have a question about the Atomicnumber example. When the Atomicnumber increases does the diameter really get bigger? Or do the electrons interact more because of the extra protons in the atomic core?
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.
This video's explanation of better experiments in coating science is fantastic. Kudos to the creator for their expertise! Liked and Subbed!
Thanks for your feedback! Highly appreciated:)
Nice, explained very well. I like the approach to let ChatGPT write most of the code. Keep going!
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.
Cc?
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.
Cc?
Sorry, what is cc?
Very helpful video to have an overview of what is important in such a case. Thanks :)
Thanks!
This video is very important. Many thanks for creating it! 😊🎉
Pleasure! I’m glad that you liked it :)
Hi how XPS measures the surface composition by formula, which means under the peak ratio I know the software can do it, I want to know the formula. thank you
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.
I have 2 questions about the topic. What type of epoxy molecules do they use for those tabels? BADGE is not stable against uv light. As soon as an epoxy reacts with a hardener the oxiran ring opens and an OH group is formed. How impactful is the autocatalytic effect of those formed OH groups? Can their impact be compared to something like a DABCO catalyst?
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.
This video was very helpful and useful but it will be better with subs tiles in different languages to help us understand better 🙂
Hey, sorry it took so long… I finally added English subtitles.
Nice! I line the intro. Keep grinding!
Great Marcel 😃
Can’t wait to watch the upcoming videos! Very interested in coatings!
Glad to hear that! :)
Great video! Thrilled to see more episodes
Thanks fighchris, next video will be on film formation ;) stay tuned!
nice video
So well explained, thank you!
Sir, this lecture is fantastic. But I would like to point out some things which may help to improve: 1. The speed of a video is prolonged. 2. The sound texture is not that good; please try to modulate it. Otherwise, the content is really very top-class. Seriously, you should continue giving more lectures, please.
Hey, thanks for your feedback! Highly appreciated. I agree on what you said and I try to improve it when I do more videos.
Simple yet useful
Thanks, highly appreciated
Thank you
Thanks, continue doing these videos!
Hi Marcel Butschle, I have question about SEM, 1/ Could SEM see nano materials, clearly or blur ? (I mean it's a normal SEM, not FE-SEM or high resolution SEM). 2/ If my material reach nano scale, could I use SEM to prove this material reach nano size? 3/ Which is the best method, cheap and convenience for characterizing (shape and size) nano materials? I hope I would receive your answer soon. Thanks Marcel Butschle so much.
Hi dah Cari, you should be able to resolve particles down to 1 nm. Resolution of SEM is limited by the spot size of the electron beam. However, for some materials, if the spot size becomes too small, the electron beam destroys the sample (energy density is too high). Then your resolution is limited by that.
If SEM does not work you have to use transmission electron microscopy which is quite common for nano-materials
@@MarcelButschle 1/ I read paper in google scholar, almost they use TEM, FE-SEM (It's good from several nm to 100nm) or AFM using for characterizing nano materials. BUT I've seen (in youtube) and read in document SEM has resolution from nano scale. But I'm not sure 2/ In my lab don't have equipment (I mean TEM), only using SEM Thanks so much.
What if my sample is liquid
Hi Mohammad, a liquid sample and vacuum does not work together. It would evaporate.
Thanks
Perfect amount of information in one video. Keep grinding buddy!
Please more content and longer videos. You have a inspiring voice and explain these difficult topics very well.
Good video.
Well explained. Thanks.