Improve the process to enhance the effectiveness of the cleaning with the chemistry

The wafer is contaminated not equally. Use special cleaning on the areas that are more contaminated

The general conclusion is to eliminate the system of the air supply and exhaust. Let air enter the chamber and convert exhaust to drain with very little under-pressure. The will stabilize the performance, reduce the cost and make the system more simple.

Increase the pressure in the chamber

Principle #15 – Dynamism – change an object from rigid to movable or adaptiveThe idea that is generated is as follows:Replace the constant flow of the chemistry with variable flow, especially in the and of the process, to ensure defects removal from the disc.So, the idea is to change (even make pulses) flow while the cleaning process.

Principle #13 – The other way around – Turn the object “upside-down”This is a great tip. Indeed, why the disk is kept “face-up” during the washing process?It would be much better to keep the disc “face down” to improve the removal of the defects from the surface.So, the idea is to keep the wafer “face down” during the washing process﻿<img 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">

Principle #16 – Partial or accessive action – do slightly more or slightly lessIf 100 percent of an object is hard to achieve using a given solution method then, by using 'slightly less' or 'slightly more' of the same method, the problem may be considerably easier to solve.A wafer is not contaminated equally: there are some areas with more defects and some areas with fewer amount of defectsThe idea is to use the shower with a graduated flow - the more the defects the higher the flow

Prevent evaporation of the chemistry from the wafer

To increase the density of the chemistry by temperature reduction

Try to eliminate the wasting. Do we really need this?

Improve the rinsing process to ensure the defects removal

Wet cleaning is widely used in microchip manufacturing. Single wafer equipment is working as follows. A wafer rotates, and chemistry is poured from a movable nozzle. Water rinsing is performed at the end of the process.
Loading of a new batch of the chemistry resulted in excursion - a strongly increased amount of defects was observed on the wafer after the processing.
The project is dedicated to the failure analysis and creation of innovative solutions.

Wafer cleaning issues at the wet process

Projects related to innovations and problem solving in the microchip manufacturing

Wafer cleaning issues in the wet process

Anything related to the cubic measure of space occupied by an object or the space around it.   'Moving' includes any situations where there is any degree of relative motion or mobility between two or more parts related to the problem.  This relative motion may be a few microns or a considerable distance.

Volume of moving object

Big amount of chemistry or water will be on the wafer

Nesting dolls

The Other way around

Dynamism

Partial or excessive action

Loss or waste of energy that does not contribute to any of the useful functions being performed.  Inefficiency.  Can be partial or complete, permanent or temporary.

Loss of energy

Unpredictably high cost of the process due to the usage of big amount of chemistry or water for rinsing

Because the chemistry contaminates the wafer due to impurities or some other properties

The chemistry is removed from the wafer before it removes the defects

Defects remain on the wafer till the very end of the process.

Because the wet process does not remove the defects

Defects remain on the wafer surface after the wet cleaning process step

Reduce evaporation rate of the chemistry, reduce rotation of the wafer

Ensure that the chemistry remains on the wafer as long as possible (reduce rotation of the wafer)

Try to eliminate the washing. Do we really need this?

To increase the density of the chemistry by temperature reduction.

5+ WHYS Analysis

Increase the temperature of rinsing water

Defects remain on the wafer surface. The wet cleaning process suddenly becomes ineffective.Let's apply the Effective Brainstorming (EBS) tool to generate ideas and prioritize them.

To analyze why the defects remain on the wafer while cleaning with chemistry.The process is as follows:<ul><li>a wafer is kept in the special chuck in 4 points</li><li>chemistry pores from the nozzle on the wafer</li><li>the wafer rotates allows removing the chemistry from the wafer together with the defects</li><li>parameters of the process - chemistry flow, temperature, process time, wafer rotation rate and so on can be adjusted</li></ul>

The quality of the low-zone wafers is different from the mid-zone and top-zone wafers. For instance, the stoichiometry of SiO2 might change. Even small variations of stoichiometry can result in the same change in optical constants that may affect the model of ellipsometric model and result in SiO2 thickness.

Turn off the heaters of the furnace when the boat is removed. The furnace is big enough to keep the temperature for a long time. Besides, the STABILIZATION step is long enough to compensate for the temperature difference.

Use a mixture of N2 and Ar during LOADING to ensure that all residual air is moved out, even from the bottom zone of the furnace.

Disconnect the thermocouples control during the LOADING if the furnace is turned on.

Start N2 flow just before the LOADING, before the loading of the boat with wafers into the furnace. Turn on the heaters only when the boat is completely loaded into the furnace

Turn off the heaters of the furnace and N2 flow during PRE-LOADING - loading the wafers in the boat

During the PRE-LOADING - loading wafers into the boat, the furnace remains open, resulting in losing N2 gas and electricity. It would be better to cover the bottom of the furnace.

The process is related to microelectronics - microchip manufacturing.

The purpose of the process is to create a SiO2 layer on the surface of a Si wafer.
Equipment: Vertical furnace to heat the wafers in the Q2 atmosphere and perform oxidation on the wafer surface.
Process: The oxidation occurs on the front side and on the back side of the wafer
Requirements: Create a SiO2 thin layer with a certain thickness and low sigma - low standard deviation of the thickness between the wafers and within the wafer

Failure: Wafers from the lower zone have higher thickness and significantly higher within wafer sigma (standard deviation of the thickness within the wafer)

SiO2 thin film creation in Diffusion furnace - Process Functional Modeling

Diffusion furnace - Process Functional Modeling (PFM)

The conditions are as follows:<ul><li>Furnace is closed</li><li>Heaters reduce the temperature down to 300C</li><li>Atmosphere - N2 flows from the top of the furnace down and comes out of the furnace</li><li>Wafers are in the boat</li><li>Elevator moves the boat with wafers down out of the furnace</li></ul>The operation's main purpose is to load the boat with wafers into the furnaceProduct - Boat

UNLOADING - Boat down from furnace

The conditions are as follows:<ul><li>Furnace is open</li><li>Heaters keep the temperature of 300C</li><li>Atmosphere - N2 flows from the top of the furnace down and comes out of the furnace</li><li>Boat is empty</li><li>Wafers are in the FOUP (box for keeping and moving the wafers)</li><li>Robot picks the wafers from the FOUP and loads them into the boat</li></ul>The operation's main purpose is loading the wafers into the boatProduct - Wafers

PRE-LOADING - Loading wafers to boat

The conditions are as follows:<ul><li>Furnace is closed</li><li>Heaters keep the process temperature</li><li>Atmosphere - N2 is kept within the closed furnace</li><li>Boat keeps wafers</li><li>O2 is supplied to the furnace to ensure the interaction with wafers to create a SiO2 thin layer on the surface of the wafer.</li></ul>The operation's main purpose is to create SiO2 layerProduct - SiO2 layer

OXIDATION - O2 added

The thickness of the SiO2 thin film is measured using the ellipsometry method. The scheme of the measurements is shown below (the image was taken from <a href="https://www.sciencedirect.com/topics/chemistry/ellipsometry" rel="noopener noreferrer" target="_blank">the article</a>):<img src="data:image/jpeg;base64,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">The purpose of the operation is to generate a signal within the detector.The product of the operation is the Detector.

SiO2 THICKNESS MEASUREMENT

The conditions are as follows:<ul><li>Furnace is closed</li><li>Heaters keep the process temperature</li><li>Atmosphere - N2 is kept within the closed furnace</li><li>Boat keeps wafers</li></ul>The operation's main purpose is to achieve an equal temperature within the furnace, to keep the wafers at the same temperature. Product - Wafers within the furnace

STABILIZATION - Dwelling & Temp increase

The conditions are as follows:<ul><li>Furnace is open</li><li>Heaters keep the temperature of 300C</li><li>Atmosphere - N2 flows from the top of the furnace down and comes out of the furnace</li><li>Wafers are in the Boat</li><li>Robot picks the wafers from the boat and loads them into the FOUP</li></ul>The operation's main purpose is loading the wafers into the FOUPProduct - Wafers

COOLING & WAFERS UNLOADING

The conditions are as follows:<ul><li>Furnace is open</li><li>Heaters keep the temperature of 300C</li><li>Atmosphere - N2 flows from the top of the furnace down and comes out of the furnace</li><li>Wafers are in the boat</li><li>Elevator moves the boat with wafers into the furnace</li></ul>The operation's main purpose is to load the boat with wafers into the furnaceProduct - Boat

LOADING - Loading boat to furnace

Передовая система управления климатом, разработанная специально для космических станций и кораблей. Эта система объединяет инновационные технологии искусственного интеллекта и машинного обучения для обеспечения оптимальных условий жизни в космической среде. Она способна автономно мониторить и регулировать температуру, влажность, давление и газовый состав воздуха, обеспечивая высокий уровень безопасности и комфорта экипажа. Разработка учитывает критические вызовы длительных космических полётов, предлагая решения для повышения эффективности и снижения рисков в экстремальных условиях космоса.

Smart Climate Control System for Space Stations (SCCSS)

Projects dedicated to safety improvements

Недостаточная квалификация и подготовка персонала, ответственного за обслуживание системы.

При обслуживании не были соблюдены стандарты безопасности и точности.

Датчики были повреждены во время последнего обслуживания станции.

Датчики температуры дают неточные показания.

Система регистрирует некорректные данные температуры.

Наша школьная команда инженеров активно работает над инновационным методом добычи льда на Марсе. Несмотря на глобальный характер этой проблемы, мы прилагаем усилия для ее решения. Основные вызовы, с которыми мы сталкиваемся, включают отсутствие инвесторов и долгосрочную перспективу, поскольку колонизация Марса планируется не ранее, чем через 40-50 лет. Кроме того, данная тема является относительно новой, и у нас ограниченные ресурсы и знания в этой области. Наш проект основан на имеющейся информации о ледяном покрове Марса. По новейшим исследованиям, концентрация водного льда в криосфере на полюсах планеты ожидаемо очень высока, достигая 100%. Объем льда в полярных шапках Марса составляет 2-2,8 млн км³. Исходя из этой информации, мы пришли к выводу, что для успешной колонизации Марса необходимо эффективно использовать все возможные ресурсы планеты.Наша установка позволит синтезировать добытый лед в водород и кислород с помощью электролиза, что снизит зависимость от поставок ресурсов с Земли. Проект представляет собой макет с тремя модулями очистки льда и одним модулем добычи. Также имеется уменьшенная версия всех сооружений, расположенная на "разрезанных" слоях породы. Основное отличие нашего проекта заключается в методе очистки, основанном на аэрации, испарении и электролизе, позволяющем очищать воду от радиации, примесей и загрязнений.

Обращаться к научному сообществу и участвовать в совместной работе

Проявлять инициативу в технологических конкурсах и соревнованиях большого масштаба&nbsp;

Команда ITD.  Предложения проектов, приборов и технологий для миссий исследования астероидов, Луны, планет Марса и Венеры. Мы занимаемся разработкой проекта связанного с добычей льда на Марсе. Не смотря на то что эта проблема глобальная, мы прилагаем усилия чтобы ее решить. Наши основные проблемы это отсутствие инвесторов, так называемая игра в "долгую", по причине того, что колонизация Марса произойдет не раньше чем через 40-50 лет, а так же эта тема достаточно новая, и человек не обладает большим количеством ресурсов и знаний в этой сфере.

Red Aqua

Projects dedicated to mechanical engineering

Red Aqua - Уникальная космическая установка для добычи льда на Марсе

Поиск единомышленников среди ученого сообщества

Коммерциализация идеи

Разработка дополнительных решений в технологической части

Научиться работать с большим объёмом технической информации

Создание маркетингового плана развития

Обнаружение и классификация. В реальном времени нейронная сеть анализирует поступающие данные, обнаруживая и классифицируя объекты на орбите. Каждый обнаруженный объект оценивается, и если он соответствует характеристикам космического мусора, сеть фиксирует его положение и другие важные параметры. Этот процесс позволяет не только точно обнаруживать космический мусор, но и вносить вклад в безопасность космических полетов и долгосрочное устойчивое использование околоземного пространства.

Нейросеть обнаруживающая космический мусор

4.	Устройства съемки: Для работы нейросети понадобится либо видео, либо прямая трансляция

3.	Коммуникационные устройства: Для передачи данных между наземными станциями, обсерваториями, спутниками и серверами потребуются высокоскоростные коммуникационные системы.

2.	Хранилище данных: Большие объемы данных, используемые для обучения и тестирования нейронной сети, требуют обширного и надежного хранилища данных.

Вычислительные Ресурсы: Мощные серверы и вычислительные системы требуются для обработки большого объема данных, полученных от радаров, спутников и телескопов. Эти системы также необходимы для тренировки, тестирования и эксплуатации нейронной сети.

Projects solving problems in the software development world and related processes.

Solving problems and innovations in chemical processes

701 results in all PRIZ Hub authors