{"id":13019,"date":"2024-10-11T19:57:16","date_gmt":"2024-10-12T01:57:16","guid":{"rendered":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/?p=13019"},"modified":"2024-10-11T19:58:46","modified_gmt":"2024-10-12T01:58:46","slug":"large-assignment-3-andrei-phelps","status":"publish","type":"post","link":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/2024\/10\/11\/large-assignment-3-andrei-phelps\/","title":{"rendered":"Large Assignment 3 – Andrei Phelps"},"content":{"rendered":"\n

I\u2019ve always been passionate about exploring CO2 emissions, particularly as it relates to global environmental impact. Initially, I wanted to focus on the largest contributors to modern-day emissions: China, the United States, and India. I thought it would be fascinating to visualize the immense levels of CO2 these countries produce annually, given their significant role in climate change. By using data visualization, I aimed to create physical forms that represent their contributions and help people understand the scale of modern emissions.<\/p>\n\n\n\n

However, as I worked with the data, I found that the numbers were so large it became difficult to create designs that were practical or realistic to produce. The vast emissions made it challenging to create models that could be visualized in a meaningful, manageable way.<\/p>\n\n\n\n

Given this, I decided to scale back my focus to something that would not only be more feasible but also tap into another area of personal interest: World War I and World War II. These periods were marked by significant industrialization, and I thought it would be interesting to see how CO2 emissions evolved during those times. By narrowing my focus to the years between 1900 and 1950, I could explore the emissions of major wartime powers\u2014the United States, Germany, and Japan\u2014and see how their industrial activities during and after the wars shaped their CO2 contributions. This range offered more manageable data while still illuminating important historical events through physical data visualization.<\/p>\n\n\n\n

United States Render<\/h2>\n\n\n\n
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Germany Render<\/h2>\n\n\n\n
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Japan Render<\/h2>\n\n\n\n
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As I began exporting my objects, I noticed that the sizes were inconsistent due to variations in the data, making the designs difficult to compare. To fix this, I implemented a normalization process in my code, which scaled the CO2 emissions data between 0 and 1 based on each country\u2019s maximum value. This allowed me to bring the objects to a consistent scale, making them proportional and easier to handle. After normalizing the data, I had to retake screenshots, re-export, and re-slice each object, but the result was a set of forms that were uniform in size and visually comparable.<\/p>\n\n\n\n

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Printing Fails<\/h2>\n\n\n\n

While printing the third object (Japan), I initially attempted the print without using any supports, which resulted in a major failure and a significant amount of wasted filament. This was the most notable issue I encountered, alongside some textural inconsistencies in my prints. For example, during the first print, I noticed excessive stringing between parts of the model, even after reducing the printing speed several times. Unfortunately, these adjustments didn\u2019t result in any noticeable improvements. Additionally, some areas of my prints appeared lumpy, and I couldn\u2019t quite determine whether this was due to the printer settings or the filament itself. Upon reviewing the filament specifications, I realized it was meant to be printed at a nozzle temperature between 210\u00b0C and 240\u00b0C, but I had kept mine at 200\u00b0C throughout the entire process, which may have contributed to the issues.<\/p>\n\n\n\n

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Final Prints<\/h2>\n\n\n\n

I had a lot of fun with this assignment. Despite the challenges I encountered along the way, I\u2019m pleased with how each of my prints turned out. They effectively represent the set of data I chose, and seeing the physical forms based on CO2 emissions over time was really satisfying. The process of translating raw data into 3D models helped me appreciate the power of data visualization in a new way. Even with the issues I faced, I learned more fine-tuning print settings, which is never a bad thing. Ultimately, this project combined my interests in both historical events and environmental data, and I\u2019m really happy with the final results.<\/p>\n\n\n\n

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Resources and Files<\/h2>\n\n\n\n

https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country<\/em><\/a><\/p>\n\n\n\n

AndreiPhelpsLA3<\/a>Download<\/a><\/div>\n\n\n\n
C02EmissionsData<\/a>Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"

I\u2019ve always been passionate about exploring CO2 emissions, particularly as it relates to global environmental impact. Initially, I wanted to focus on the largest contributors to modern-day emissions: China, the United States, and India. I thought it would be fascinating to visualize the immense levels of CO2 these countries produce annually, given their significant role in climate change. By using […]<\/p>\n","protected":false},"author":63,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[57,46],"tags":[],"class_list":["post-13019","post","type-post","status-publish","format-standard","hentry","category-large-assignment-3-data","category-studentwork24"],"_links":{"self":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/13019","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/users\/63"}],"replies":[{"embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/comments?post=13019"}],"version-history":[{"count":3,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/13019\/revisions"}],"predecessor-version":[{"id":13111,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/posts\/13019\/revisions\/13111"}],"wp:attachment":[{"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/media?parent=13019"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/categories?post=13019"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/handandmachine.org\/classes\/computational_fabrication\/wp-json\/wp\/v2\/tags?post=13019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}